{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/carolinabernal/Library/CloudStorage/Dropbox/Spanish_Lottery/StataDos_RScripts/202406 Analysis/Ours_replication_pkg/NEW AND FINAL REPPKG/Logs/MainPaper_SurveyEvidence_Tables.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}23 Oct 2025, 12:47:33

{com}. do "/var/folders/54/7cxl8ny95nb4vs26j1q2yq9r0000gn/T//SD08037.000000"
{txt}
{com}. 
. /*-----------------------------------------------------------------------------*
> * REPLICATION for "Do Provinces that Win the Spanish Christmas Lottery 
> Experience a Surge in  Incumbent Popularity? An Out-of-Sample Replication of 
> Bagues and Esteve-Volart (2016)". JPE Micro
> * Authors: Carolina Bernal, Donald Green, and David Vilalta
> 
> * What for: Code for Individual Support for the Incumbent Party from Survey 
> Data -- Tables 3 and 4. Main paper
> * Do file's author: Carolina Bernal
> **----------------------------------------------------------------------------*/
. 
. cls
{txt}
{com}. 
. global folder "/Users/carolinabernal/Library/CloudStorage/Dropbox/Spanish_Lottery/StataDos_RScripts/202406 Analysis/Ours_replication_pkg/NEW AND FINAL REPPKG"
{txt}
{com}. 
. cd "${c -(}folder{c )-}"
{res}/Users/carolinabernal/Library/CloudStorage/Dropbox/Spanish_Lottery/StataDos_RScripts/202406 Analysis/Ours_replication_pkg/NEW AND FINAL REPPKG
{txt}
{com}. 
. 
. * Path to figures and tables folders: 
. global tables "Results/Tables_Survey/"
{txt}
{com}. global figures "Results/Figures_Survey/" 
{txt}
{com}. 
. **----------------------------------------------------------------------------**
. *** TABLE 3. MAIN PAPER: Effects of Last Year's Lottery Prizes on Survey 
. *** Measures of Incumbent Party Support, by Period
. **----------------------------------------------------------------------------**
. 
. use "Data/Our_data/20240723_SpanishLottery_Complete_survey.dta", clear 
{txt}(fileNameJDS)

{com}. 
. drop if province==""
{txt}(0 observations deleted)

{com}. encode province, gen(prov_num)
{txt}
{com}. 
. decode fixed_effect_num, gen(fixed)
{txt}
{com}. 
. ** Get period with 3 quarters from year t-1 + first quarter of year t. 
. rename year year_original
{res}{txt}
{com}. split fixed, parse(-) limit(1) gen(year)
{res}variable created as string: 
{txt}{col 1}year1

{com}. destring year1, replace
{txt}year1: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}. 
. ** Period control:
. gen preperiod=1 if year_original<2010
{txt}(448,934 missing values generated)

{com}. replace preperiod=0 if year_original>=2010
{txt}(448,934 real changes made)

{com}. 
. global individual_characteristics "i.municipality_size female age i.education i.status"
{txt}
{com}. global ind_char_preperiod "preperiod#i.municipality_size preperiod#female preperiod#c.age preperiod#i.education preperiod#i.status"
{txt}
{com}. 
. 
. preserve
{txt}
{com}. 
. keep if month<4
{txt}(783,192 observations deleted)

{com}. 
. ** Col 4, New Table 3. Propensities corrected + Fixed effects corrected, PRE period, Q1: 
. eststo b_preQ1: areg vote_incumbent top_prizes_gdp_ours c.expenditure_gdp_ours##i.year_original i.prov_num $individual_characteristics if year_original<2010, absorb(survey) 
{txt}{p 0 6 2}note: {bf:1988.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1989.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1990.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1991.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1992.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1993.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1994.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1995.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1996.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1997.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1998.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1999.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2000.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2001.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2002.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2003.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2004.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2005.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2006.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2007.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2008.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2009.year_original} omitted because of collinearity.{p_end}
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 52}{lalign 17:Number of obs}{col 69} = {res}{ralign 7:143,052}
{txt}{col 1}Absorbed variable: {res:survey}{col 52}{lalign 17:No. of categories}{col 69} = {res}{ralign 7:35}
{txt}{col 52}{lalign 17:F({res:87}, {res:142930})}{col 69} = {res}{ralign 7:52.74}
{txt}{col 52}{lalign 17:Prob > F}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 52}{lalign 17:R-squared}{col 69} = {res}{ralign 7:0.0380}
{txt}{col 52}{lalign 17:Adj R-squared}{col 69} = {res}{ralign 7:0.0372}
{txt}{col 52}{lalign 17:Root MSE}{col 69} = {res}{ralign 7:0.4377}

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                            vote_incumbent{col 44}{c |} Coefficient{col 56}  Std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}top_prizes_gdp_ours {c |}{col 44}{res}{space 2}  .004361{col 56}{space 2} .0042005{col 67}{space 1}    1.04{col 76}{space 3}0.299{col 84}{space 4}-.0038718{col 97}{space 3} .0125938
{txt}{space 22}expenditure_gdp_ours {c |}{col 44}{res}{space 2}-.0456716{col 56}{space 2} .1213395{col 67}{space 1}   -0.38{col 76}{space 3}0.707{col 84}{space 4}-.2834948{col 97}{space 3} .1921515
{txt}{space 42} {c |}
{space 29}year_original {c |}
{space 37}1988  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1989  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1990  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1991  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1992  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1993  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1994  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1995  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1996  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1997  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1998  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1999  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2000  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2001  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2002  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2003  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2004  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2005  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2006  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2007  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2008  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2009  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 42} {c |}
{space 6}year_original#c.expenditure_gdp_ours {c |}
{space 37}1988  {c |}{col 44}{res}{space 2}-.0495045{col 56}{space 2} .1693977{col 67}{space 1}   -0.29{col 76}{space 3}0.770{col 84}{space 4}-.3815208{col 97}{space 3} .2825118
{txt}{space 37}1989  {c |}{col 44}{res}{space 2}-.1245102{col 56}{space 2} .1394265{col 67}{space 1}   -0.89{col 76}{space 3}0.372{col 84}{space 4}-.3977835{col 97}{space 3} .1487632
{txt}{space 37}1990  {c |}{col 44}{res}{space 2}-.2613951{col 56}{space 2} .1391514{col 67}{space 1}   -1.88{col 76}{space 3}0.060{col 84}{space 4} -.534129{col 97}{space 3} .0113389
{txt}{space 37}1991  {c |}{col 44}{res}{space 2}-.3353729{col 56}{space 2} .1726374{col 67}{space 1}   -1.94{col 76}{space 3}0.052{col 84}{space 4}-.6737388{col 97}{space 3}  .002993
{txt}{space 37}1992  {c |}{col 44}{res}{space 2}-.2516707{col 56}{space 2} .1455198{col 67}{space 1}   -1.73{col 76}{space 3}0.084{col 84}{space 4}-.5368866{col 97}{space 3} .0335452
{txt}{space 37}1993  {c |}{col 44}{res}{space 2}-.0545466{col 56}{space 2} .1363452{col 67}{space 1}   -0.40{col 76}{space 3}0.689{col 84}{space 4}-.3217804{col 97}{space 3} .2126873
{txt}{space 37}1994  {c |}{col 44}{res}{space 2}-.0085924{col 56}{space 2} .1382085{col 67}{space 1}   -0.06{col 76}{space 3}0.950{col 84}{space 4}-.2794784{col 97}{space 3} .2622936
{txt}{space 37}1995  {c |}{col 44}{res}{space 2} -.075838{col 56}{space 2} .1352044{col 67}{space 1}   -0.56{col 76}{space 3}0.575{col 84}{space 4} -.340836{col 97}{space 3} .1891601
{txt}{space 37}1996  {c |}{col 44}{res}{space 2}-.0304466{col 56}{space 2} .1471113{col 67}{space 1}   -0.21{col 76}{space 3}0.836{col 84}{space 4}-.3187819{col 97}{space 3} .2578886
{txt}{space 37}1997  {c |}{col 44}{res}{space 2} .4541085{col 56}{space 2} .1660375{col 67}{space 1}    2.73{col 76}{space 3}0.006{col 84}{space 4} .1286782{col 97}{space 3} .7795388
{txt}{space 37}1998  {c |}{col 44}{res}{space 2} .3808661{col 56}{space 2} .1753279{col 67}{space 1}    2.17{col 76}{space 3}0.030{col 84}{space 4} .0372268{col 97}{space 3} .7245054
{txt}{space 37}1999  {c |}{col 44}{res}{space 2}  .398977{col 56}{space 2} .1723542{col 67}{space 1}    2.31{col 76}{space 3}0.021{col 84}{space 4} .0611661{col 97}{space 3}  .736788
{txt}{space 37}2000  {c |}{col 44}{res}{space 2} .4552568{col 56}{space 2}   .12294{col 67}{space 1}    3.70{col 76}{space 3}0.000{col 84}{space 4} .2142968{col 97}{space 3} .6962168
{txt}{space 37}2001  {c |}{col 44}{res}{space 2} .2556823{col 56}{space 2} .1642557{col 67}{space 1}    1.56{col 76}{space 3}0.120{col 84}{space 4}-.0662556{col 97}{space 3} .5776202
{txt}{space 37}2002  {c |}{col 44}{res}{space 2} .3376721{col 56}{space 2} .1678517{col 67}{space 1}    2.01{col 76}{space 3}0.044{col 84}{space 4}  .008686{col 97}{space 3} .6666582
{txt}{space 37}2003  {c |}{col 44}{res}{space 2} .1102327{col 56}{space 2} .1604555{col 67}{space 1}    0.69{col 76}{space 3}0.492{col 84}{space 4}-.2042568{col 97}{space 3} .4247223
{txt}{space 37}2004  {c |}{col 44}{res}{space 2} .3765535{col 56}{space 2} .1221523{col 67}{space 1}    3.08{col 76}{space 3}0.002{col 84}{space 4} .1371374{col 97}{space 3} .6159696
{txt}{space 37}2005  {c |}{col 44}{res}{space 2}-.2136922{col 56}{space 2} .1605444{col 67}{space 1}   -1.33{col 76}{space 3}0.183{col 84}{space 4} -.528356{col 97}{space 3} .1009717
{txt}{space 37}2006  {c |}{col 44}{res}{space 2}-.1632491{col 56}{space 2} .1508239{col 67}{space 1}   -1.08{col 76}{space 3}0.279{col 84}{space 4}-.4588609{col 97}{space 3} .1323627
{txt}{space 37}2007  {c |}{col 44}{res}{space 2}  .027022{col 56}{space 2} .1449967{col 67}{space 1}    0.19{col 76}{space 3}0.852{col 84}{space 4}-.2571688{col 97}{space 3} .3112127
{txt}{space 37}2008  {c |}{col 44}{res}{space 2} .0416056{col 56}{space 2} .1215363{col 67}{space 1}    0.34{col 76}{space 3}0.732{col 84}{space 4}-.1966032{col 97}{space 3} .2798145
{txt}{space 37}2009  {c |}{col 44}{res}{space 2}-.3046803{col 56}{space 2} .1501638{col 67}{space 1}   -2.03{col 76}{space 3}0.042{col 84}{space 4}-.5989984{col 97}{space 3}-.0103622
{txt}{space 42} {c |}
{space 34}prov_num {c |}
{space 36}alava  {c |}{col 44}{res}{space 2}-.1079584{col 56}{space 2} .0130217{col 67}{space 1}   -8.29{col 76}{space 3}0.000{col 84}{space 4}-.1334807{col 97}{space 3}-.0824361
{txt}{space 33}albacete  {c |}{col 44}{res}{space 2} .0620944{col 56}{space 2} .0127724{col 67}{space 1}    4.86{col 76}{space 3}0.000{col 84}{space 4} .0370608{col 97}{space 3} .0871281
{txt}{space 33}alicante  {c |}{col 44}{res}{space 2} .0956644{col 56}{space 2} .0101414{col 67}{space 1}    9.43{col 76}{space 3}0.000{col 84}{space 4} .0757875{col 97}{space 3} .1155413
{txt}{space 34}almeria  {c |}{col 44}{res}{space 2}  .067035{col 56}{space 2}  .012164{col 67}{space 1}    5.51{col 76}{space 3}0.000{col 84}{space 4} .0431937{col 97}{space 3} .0908762
{txt}{space 33}asturias  {c |}{col 44}{res}{space 2}   .01222{col 56}{space 2} .0101836{col 67}{space 1}    1.20{col 76}{space 3}0.230{col 84}{space 4}-.0077397{col 97}{space 3} .0321797
{txt}{space 36}avila  {c |}{col 44}{res}{space 2} .0556494{col 56}{space 2}  .015234{col 67}{space 1}    3.65{col 76}{space 3}0.000{col 84}{space 4}  .025791{col 97}{space 3} .0855078
{txt}{space 34}badajoz  {c |}{col 44}{res}{space 2} .1039737{col 56}{space 2} .0119061{col 67}{space 1}    8.73{col 76}{space 3}0.000{col 84}{space 4}  .080638{col 97}{space 3} .1273094
{txt}{space 32}barcelona  {c |}{col 44}{res}{space 2}-.0157114{col 56}{space 2} .0085333{col 67}{space 1}   -1.84{col 76}{space 3}0.066{col 84}{space 4}-.0324364{col 97}{space 3} .0010137
{txt}{space 35}burgos  {c |}{col 44}{res}{space 2}  .008879{col 56}{space 2} .0128709{col 67}{space 1}    0.69{col 76}{space 3}0.490{col 84}{space 4}-.0163476{col 97}{space 3} .0341057
{txt}{space 34}caceres  {c |}{col 44}{res}{space 2} .0849176{col 56}{space 2}  .012319{col 67}{space 1}    6.89{col 76}{space 3}0.000{col 84}{space 4} .0607726{col 97}{space 3} .1090627
{txt}{space 36}cadiz  {c |}{col 44}{res}{space 2} .0702984{col 56}{space 2} .0117698{col 67}{space 1}    5.97{col 76}{space 3}0.000{col 84}{space 4} .0472299{col 97}{space 3} .0933669
{txt}{space 32}cantabria  {c |}{col 44}{res}{space 2} .0784001{col 56}{space 2} .0117737{col 67}{space 1}    6.66{col 76}{space 3}0.000{col 84}{space 4} .0553238{col 97}{space 3} .1014763
{txt}{space 32}castellon  {c |}{col 44}{res}{space 2} .0839609{col 56}{space 2} .0119032{col 67}{space 1}    7.05{col 76}{space 3}0.000{col 84}{space 4} .0606309{col 97}{space 3} .1072908
{txt}{space 30}ciudad real  {c |}{col 44}{res}{space 2} .0721539{col 56}{space 2} .0125523{col 67}{space 1}    5.75{col 76}{space 3}0.000{col 84}{space 4} .0475517{col 97}{space 3} .0967561
{txt}{space 34}cordoba  {c |}{col 44}{res}{space 2}-.0288852{col 56}{space 2} .0109312{col 67}{space 1}   -2.64{col 76}{space 3}0.008{col 84}{space 4}-.0503101{col 97}{space 3}-.0074602
{txt}{space 35}cuenca  {c |}{col 44}{res}{space 2} .0571618{col 56}{space 2} .0146854{col 67}{space 1}    3.89{col 76}{space 3}0.000{col 84}{space 4} .0283787{col 97}{space 3} .0859448
{txt}{space 33}gipuzkoa  {c |}{col 44}{res}{space 2}-.1739479{col 56}{space 2} .0109151{col 67}{space 1}  -15.94{col 76}{space 3}0.000{col 84}{space 4}-.1953414{col 97}{space 3}-.1525544
{txt}{space 35}girona  {c |}{col 44}{res}{space 2}-.0760449{col 56}{space 2} .0124196{col 67}{space 1}   -6.12{col 76}{space 3}0.000{col 84}{space 4}-.1003871{col 97}{space 3}-.0517026
{txt}{space 34}granada  {c |}{col 44}{res}{space 2}  .032505{col 56}{space 2} .0110887{col 67}{space 1}    2.93{col 76}{space 3}0.003{col 84}{space 4} .0107715{col 97}{space 3} .0542386
{txt}{space 30}guadalajara  {c |}{col 44}{res}{space 2} .0506475{col 56}{space 2} .0146623{col 67}{space 1}    3.45{col 76}{space 3}0.001{col 84}{space 4} .0219096{col 97}{space 3} .0793854
{txt}{space 35}huelva  {c |}{col 44}{res}{space 2}   .05557{col 56}{space 2} .0138073{col 67}{space 1}    4.02{col 76}{space 3}0.000{col 84}{space 4}  .028508{col 97}{space 3} .0826319
{txt}{space 35}huesca  {c |}{col 44}{res}{space 2}-.0072887{col 56}{space 2} .0140556{col 67}{space 1}   -0.52{col 76}{space 3}0.604{col 84}{space 4}-.0348374{col 97}{space 3} .0202599
{txt}{space 27}islas baleares  {c |}{col 44}{res}{space 2} .0560975{col 56}{space 2} .0119365{col 67}{space 1}    4.70{col 76}{space 3}0.000{col 84}{space 4} .0327023{col 97}{space 3} .0794927
{txt}{space 37}jaen  {c |}{col 44}{res}{space 2} .0367215{col 56}{space 2} .0112982{col 67}{space 1}    3.25{col 76}{space 3}0.001{col 84}{space 4} .0145772{col 97}{space 3} .0588657
{txt}{space 33}la rioja  {c |}{col 44}{res}{space 2}-.0142648{col 56}{space 2} .0134348{col 67}{space 1}   -1.06{col 76}{space 3}0.288{col 84}{space 4}-.0405967{col 97}{space 3}  .012067
{txt}{space 31}las palmas  {c |}{col 44}{res}{space 2}  .078708{col 56}{space 2} .0118375{col 67}{space 1}    6.65{col 76}{space 3}0.000{col 84}{space 4} .0555068{col 97}{space 3} .1019092
{txt}{space 37}leon  {c |}{col 44}{res}{space 2} .0207202{col 56}{space 2} .0120516{col 67}{space 1}    1.72{col 76}{space 3}0.086{col 84}{space 4}-.0029006{col 97}{space 3} .0443411
{txt}{space 35}lleida  {c |}{col 44}{res}{space 2} -.095466{col 56}{space 2} .0141094{col 67}{space 1}   -6.77{col 76}{space 3}0.000{col 84}{space 4}-.1231202{col 97}{space 3}-.0678118
{txt}{space 37}lugo  {c |}{col 44}{res}{space 2} .0430154{col 56}{space 2}  .012488{col 67}{space 1}    3.44{col 76}{space 3}0.001{col 84}{space 4} .0185392{col 97}{space 3} .0674917
{txt}{space 35}madrid  {c |}{col 44}{res}{space 2} .0213789{col 56}{space 2} .0089501{col 67}{space 1}    2.39{col 76}{space 3}0.017{col 84}{space 4} .0038369{col 97}{space 3} .0389209
{txt}{space 35}malaga  {c |}{col 44}{res}{space 2} .0989026{col 56}{space 2} .0105783{col 67}{space 1}    9.35{col 76}{space 3}0.000{col 84}{space 4} .0781693{col 97}{space 3} .1196359
{txt}{space 35}murcia  {c |}{col 44}{res}{space 2} .0421971{col 56}{space 2} .0103366{col 67}{space 1}    4.08{col 76}{space 3}0.000{col 84}{space 4} .0219376{col 97}{space 3} .0624565
{txt}{space 34}navarra  {c |}{col 44}{res}{space 2}-.0506542{col 56}{space 2} .0121269{col 67}{space 1}   -4.18{col 76}{space 3}0.000{col 84}{space 4}-.0744227{col 97}{space 3}-.0268857
{txt}{space 34}ourense  {c |}{col 44}{res}{space 2} .0389841{col 56}{space 2} .0125055{col 67}{space 1}    3.12{col 76}{space 3}0.002{col 84}{space 4} .0144736{col 97}{space 3} .0634945
{txt}{space 33}palencia  {c |}{col 44}{res}{space 2} .0320805{col 56}{space 2} .0155171{col 67}{space 1}    2.07{col 76}{space 3}0.039{col 84}{space 4} .0016672{col 97}{space 3} .0624938
{txt}{space 31}pontevedra  {c |}{col 44}{res}{space 2}-.0167985{col 56}{space 2} .0105358{col 67}{space 1}   -1.59{col 76}{space 3}0.111{col 84}{space 4}-.0374484{col 97}{space 3} .0038515
{txt}{space 32}salamanca  {c |}{col 44}{res}{space 2} .1030531{col 56}{space 2} .0126552{col 67}{space 1}    8.14{col 76}{space 3}0.000{col 84}{space 4} .0782493{col 97}{space 3}  .127857
{txt}{space 19}santa cruz de tenerife  {c |}{col 44}{res}{space 2} .0316729{col 56}{space 2}  .011164{col 67}{space 1}    2.84{col 76}{space 3}0.005{col 84}{space 4} .0097916{col 97}{space 3} .0535542
{txt}{space 34}segovia  {c |}{col 44}{res}{space 2} .0009646{col 56}{space 2} .0157032{col 67}{space 1}    0.06{col 76}{space 3}0.951{col 84}{space 4}-.0298134{col 97}{space 3} .0317426
{txt}{space 34}sevilla  {c |}{col 44}{res}{space 2} .0790566{col 56}{space 2} .0105293{col 67}{space 1}    7.51{col 76}{space 3}0.000{col 84}{space 4} .0584193{col 97}{space 3} .0996939
{txt}{space 36}soria  {c |}{col 44}{res}{space 2} .0545809{col 56}{space 2} .0189822{col 67}{space 1}    2.88{col 76}{space 3}0.004{col 84}{space 4} .0173762{col 97}{space 3} .0917857
{txt}{space 32}tarragona  {c |}{col 44}{res}{space 2}-.0137403{col 56}{space 2} .0121351{col 67}{space 1}   -1.13{col 76}{space 3}0.258{col 84}{space 4}-.0375249{col 97}{space 3} .0100443
{txt}{space 35}teruel  {c |}{col 44}{res}{space 2} .0200198{col 56}{space 2} .0138518{col 67}{space 1}    1.45{col 76}{space 3}0.148{col 84}{space 4}-.0071295{col 97}{space 3} .0471691
{txt}{space 35}toledo  {c |}{col 44}{res}{space 2} .0534549{col 56}{space 2} .0123756{col 67}{space 1}    4.32{col 76}{space 3}0.000{col 84}{space 4} .0291989{col 97}{space 3} .0777109
{txt}{space 33}valencia  {c |}{col 44}{res}{space 2} .0572906{col 56}{space 2} .0096977{col 67}{space 1}    5.91{col 76}{space 3}0.000{col 84}{space 4} .0382833{col 97}{space 3} .0762979
{txt}{space 31}valladolid  {c |}{col 44}{res}{space 2} .0402532{col 56}{space 2} .0125082{col 67}{space 1}    3.22{col 76}{space 3}0.001{col 84}{space 4} .0157374{col 97}{space 3}  .064769
{txt}{space 34}vizcaya  {c |}{col 44}{res}{space 2}-.1743235{col 56}{space 2} .0098991{col 67}{space 1}  -17.61{col 76}{space 3}0.000{col 84}{space 4}-.1937255{col 97}{space 3}-.1549215
{txt}{space 35}zamora  {c |}{col 44}{res}{space 2} .0928831{col 56}{space 2} .0147073{col 67}{space 1}    6.32{col 76}{space 3}0.000{col 84}{space 4} .0640572{col 97}{space 3} .1217091
{txt}{space 33}zaragoza  {c |}{col 44}{res}{space 2} .0090475{col 56}{space 2} .0118681{col 67}{space 1}    0.76{col 76}{space 3}0.446{col 84}{space 4}-.0142137{col 97}{space 3} .0323088
{txt}{space 42} {c |}
{space 25}municipality_size {c |}
{space 5}Between 2,001 and 10,000 inhabitants  {c |}{col 44}{res}{space 2}-.0045367{col 56}{space 2} .0047633{col 67}{space 1}   -0.95{col 76}{space 3}0.341{col 84}{space 4}-.0138727{col 97}{space 3} .0047993
{txt}{space 4}Between 10,001 and 50,000 inhabitants  {c |}{col 44}{res}{space 2}-.0080952{col 56}{space 2} .0047209{col 67}{space 1}   -1.71{col 76}{space 3}0.086{col 84}{space 4}-.0173481{col 97}{space 3} .0011577
{txt}{space 3}Between 50,001 and 100,000 inhabitants  {c |}{col 44}{res}{space 2}-.0243577{col 56}{space 2} .0055669{col 67}{space 1}   -4.38{col 76}{space 3}0.000{col 84}{space 4}-.0352687{col 97}{space 3}-.0134466
{txt}{space 2}Between 100,001 and 400,000 inhabitants  {c |}{col 44}{res}{space 2}-.0028911{col 56}{space 2} .0048429{col 67}{space 1}   -0.60{col 76}{space 3}0.551{col 84}{space 4}-.0123832{col 97}{space 3} .0066009
{txt}Between 400,001 and 1,000,000 inhabitants  {c |}{col 44}{res}{space 2}-.0454428{col 56}{space 2} .0075504{col 67}{space 1}   -6.02{col 76}{space 3}0.000{col 84}{space 4}-.0602416{col 97}{space 3}-.0306441
{txt}{space 10}More than 1,000,001 inhabitants  {c |}{col 44}{res}{space 2} -.023705{col 56}{space 2} .0070387{col 67}{space 1}   -3.37{col 76}{space 3}0.001{col 84}{space 4}-.0375008{col 97}{space 3}-.0099093
{txt}{space 42} {c |}
{space 36}female {c |}{col 44}{res}{space 2}-.0169662{col 56}{space 2} .0026545{col 67}{space 1}   -6.39{col 76}{space 3}0.000{col 84}{space 4}-.0221689{col 97}{space 3}-.0117634
{txt}{space 39}age {c |}{col 44}{res}{space 2} .0009276{col 56}{space 2} .0000998{col 67}{space 1}    9.29{col 76}{space 3}0.000{col 84}{space 4} .0007319{col 97}{space 3} .0011232
{txt}{space 42} {c |}
{space 33}education {c |}
{space 32}Secondary  {c |}{col 44}{res}{space 2} -.017599{col 56}{space 2} .0031714{col 67}{space 1}   -5.55{col 76}{space 3}0.000{col 84}{space 4}-.0238149{col 97}{space 3} -.011383
{txt}{space 25}Higher Education  {c |}{col 44}{res}{space 2}-.0195908{col 56}{space 2} .0037874{col 67}{space 1}   -5.17{col 76}{space 3}0.000{col 84}{space 4}-.0270139{col 97}{space 3}-.0121676
{txt}{space 42} {c |}
{space 36}status {c |}
{space 31}Unemployed  {c |}{col 44}{res}{space 2}-.0119307{col 56}{space 2} .0041593{col 67}{space 1}   -2.87{col 76}{space 3}0.004{col 84}{space 4}-.0200829{col 97}{space 3}-.0037785
{txt}{space 34}Retired  {c |}{col 44}{res}{space 2} .0233441{col 56}{space 2} .0043484{col 67}{space 1}    5.37{col 76}{space 3}0.000{col 84}{space 4} .0148214{col 97}{space 3} .0318668
{txt}{space 34}Student  {c |}{col 44}{res}{space 2}-.0248215{col 56}{space 2} .0050725{col 67}{space 1}   -4.89{col 76}{space 3}0.000{col 84}{space 4}-.0347636{col 97}{space 3}-.0148794
{txt}{space 30}Housekeeper  {c |}{col 44}{res}{space 2} .0101192{col 56}{space 2} .0039573{col 67}{space 1}    2.56{col 76}{space 3}0.011{col 84}{space 4} .0023631{col 97}{space 3} .0178754
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} .2110971{col 56}{space 2} .0138409{col 67}{space 1}   15.25{col 76}{space 3}0.000{col 84}{space 4} .1839691{col 97}{space 3}  .238225
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}34{txt}, {res}142930{txt}) = {res}13.221{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\checkmark$"

{txt}added macro:
           e(SurveyFE) : "{res:$\checkmark$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\times$"

{txt}added macro:
           e(PeriodFE) : "{res:$\times$}"

{com}. estadd local PeriodCtrols "$\times$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\times$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Pre-10"

{txt}added macro:
             e(Sample) : "{res:Pre-10}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Q1"

{txt}added macro:
            e(Outcome) : "{res:Q1}"

{com}. 
. boottest top_prizes_gdp_ours, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_ours

{txt}{col 28}t(49) = {res}    0.4533
{col 25}{txt}Prob>|t| = {res}    0.6486

95%{txt} confidence set for null hypothesis expression: {res}[−.02009, .03031]
{txt}
{com}. 
. 
. ** Col 5, New Table 3. Propensities corrected + Fixed effects corrected, POST period, Q1:
. eststo b_postQ1: areg vote_incumbent top_prizes_gdp_ours c.expenditure_gdp_ours##i.year_original i.prov_num $individual_characteristics if year_original>=2010, absorb(survey) 
{txt}{p 0 6 2}note: {bf:2011.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2012.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2013.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2014.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2015.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2016.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2017.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2018.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2019.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2020.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2021.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2022.year_original} omitted because of collinearity.{p_end}
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:74,572}
{txt}{col 1}Absorbed variable: {res:survey}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:21}
{txt}{col 53}{lalign 17:F({res:77}, {res:74474})}{col 70} = {res}{ralign 6:25.46}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.0342}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.0329}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.3973}

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                            vote_incumbent{col 44}{c |} Coefficient{col 56}  Std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}top_prizes_gdp_ours {c |}{col 44}{res}{space 2} .0000987{col 56}{space 2} .0050123{col 67}{space 1}    0.02{col 76}{space 3}0.984{col 84}{space 4}-.0097255{col 97}{space 3} .0099228
{txt}{space 22}expenditure_gdp_ours {c |}{col 44}{res}{space 2}-.3720027{col 56}{space 2} .1175383{col 67}{space 1}   -3.16{col 76}{space 3}0.002{col 84}{space 4}-.6023772{col 97}{space 3}-.1416282
{txt}{space 42} {c |}
{space 29}year_original {c |}
{space 37}2011  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2012  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2013  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2014  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2015  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2016  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2017  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2018  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2019  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2020  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2021  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2022  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 42} {c |}
{space 6}year_original#c.expenditure_gdp_ours {c |}
{space 37}2011  {c |}{col 44}{res}{space 2} .0330805{col 56}{space 2} .1426339{col 67}{space 1}    0.23{col 76}{space 3}0.817{col 84}{space 4}-.2464813{col 97}{space 3} .3126423
{txt}{space 37}2012  {c |}{col 44}{res}{space 2} .7463149{col 56}{space 2}  .141721{col 67}{space 1}    5.27{col 76}{space 3}0.000{col 84}{space 4} .4685424{col 97}{space 3} 1.024087
{txt}{space 37}2013  {c |}{col 44}{res}{space 2} .4986397{col 56}{space 2} .1346934{col 67}{space 1}    3.70{col 76}{space 3}0.000{col 84}{space 4} .2346412{col 97}{space 3} .7626382
{txt}{space 37}2014  {c |}{col 44}{res}{space 2} .4366829{col 56}{space 2} .1464403{col 67}{space 1}    2.98{col 76}{space 3}0.003{col 84}{space 4} .1496605{col 97}{space 3} .7237053
{txt}{space 37}2015  {c |}{col 44}{res}{space 2} .5864813{col 56}{space 2} .1471015{col 67}{space 1}    3.99{col 76}{space 3}0.000{col 84}{space 4}  .298163{col 97}{space 3} .8747996
{txt}{space 37}2016  {c |}{col 44}{res}{space 2} .4261988{col 56}{space 2} .1319908{col 67}{space 1}    3.23{col 76}{space 3}0.001{col 84}{space 4} .1674973{col 97}{space 3} .6849003
{txt}{space 37}2017  {c |}{col 44}{res}{space 2} .6123785{col 56}{space 2} .1365643{col 67}{space 1}    4.48{col 76}{space 3}0.000{col 84}{space 4}  .344713{col 97}{space 3}  .880044
{txt}{space 37}2018  {c |}{col 44}{res}{space 2}  .485084{col 56}{space 2}  .137856{col 67}{space 1}    3.52{col 76}{space 3}0.000{col 84}{space 4} .2148869{col 97}{space 3} .7552811
{txt}{space 37}2019  {c |}{col 44}{res}{space 2} .1279369{col 56}{space 2} .1010869{col 67}{space 1}    1.27{col 76}{space 3}0.206{col 84}{space 4}-.0701931{col 97}{space 3} .3260669
{txt}{space 37}2020  {c |}{col 44}{res}{space 2} .2414915{col 56}{space 2} .1071774{col 67}{space 1}    2.25{col 76}{space 3}0.024{col 84}{space 4} .0314242{col 97}{space 3} .4515588
{txt}{space 37}2021  {c |}{col 44}{res}{space 2} .0280148{col 56}{space 2} .1119053{col 67}{space 1}    0.25{col 76}{space 3}0.802{col 84}{space 4}-.1913191{col 97}{space 3} .2473487
{txt}{space 37}2022  {c |}{col 44}{res}{space 2} .0970439{col 56}{space 2} .1038375{col 67}{space 1}    0.93{col 76}{space 3}0.350{col 84}{space 4}-.1064772{col 97}{space 3} .3005649
{txt}{space 42} {c |}
{space 34}prov_num {c |}
{space 36}alava  {c |}{col 44}{res}{space 2} -.089526{col 56}{space 2} .0216799{col 67}{space 1}   -4.13{col 76}{space 3}0.000{col 84}{space 4}-.1320186{col 97}{space 3}-.0470334
{txt}{space 33}albacete  {c |}{col 44}{res}{space 2}-.0043159{col 56}{space 2} .0184824{col 67}{space 1}   -0.23{col 76}{space 3}0.815{col 84}{space 4}-.0405413{col 97}{space 3} .0319096
{txt}{space 33}alicante  {c |}{col 44}{res}{space 2} .0453571{col 56}{space 2} .0129988{col 67}{space 1}    3.49{col 76}{space 3}0.000{col 84}{space 4} .0198796{col 97}{space 3} .0708346
{txt}{space 34}almeria  {c |}{col 44}{res}{space 2} .0286723{col 56}{space 2} .0150546{col 67}{space 1}    1.90{col 76}{space 3}0.057{col 84}{space 4}-.0008346{col 97}{space 3} .0581793
{txt}{space 33}asturias  {c |}{col 44}{res}{space 2} .0006207{col 56}{space 2} .0157558{col 67}{space 1}    0.04{col 76}{space 3}0.969{col 84}{space 4}-.0302607{col 97}{space 3} .0315021
{txt}{space 36}avila  {c |}{col 44}{res}{space 2}-.0168143{col 56}{space 2}  .024528{col 67}{space 1}   -0.69{col 76}{space 3}0.493{col 84}{space 4}-.0648891{col 97}{space 3} .0312604
{txt}{space 34}badajoz  {c |}{col 44}{res}{space 2} .0368817{col 56}{space 2} .0153221{col 67}{space 1}    2.41{col 76}{space 3}0.016{col 84}{space 4} .0068504{col 97}{space 3}  .066913
{txt}{space 32}barcelona  {c |}{col 44}{res}{space 2}-.0509736{col 56}{space 2} .0143248{col 67}{space 1}   -3.56{col 76}{space 3}0.000{col 84}{space 4}-.0790502{col 97}{space 3} -.022897
{txt}{space 35}burgos  {c |}{col 44}{res}{space 2} .0318169{col 56}{space 2} .0213622{col 67}{space 1}    1.49{col 76}{space 3}0.136{col 84}{space 4} -.010053{col 97}{space 3} .0736868
{txt}{space 34}caceres  {c |}{col 44}{res}{space 2} .0843768{col 56}{space 2} .0186743{col 67}{space 1}    4.52{col 76}{space 3}0.000{col 84}{space 4} .0477751{col 97}{space 3} .1209784
{txt}{space 36}cadiz  {c |}{col 44}{res}{space 2}-.0007307{col 56}{space 2} .0142869{col 67}{space 1}   -0.05{col 76}{space 3}0.959{col 84}{space 4} -.028733{col 97}{space 3} .0272717
{txt}{space 32}cantabria  {c |}{col 44}{res}{space 2}-.0057803{col 56}{space 2} .0145504{col 67}{space 1}   -0.40{col 76}{space 3}0.691{col 84}{space 4}-.0342991{col 97}{space 3} .0227385
{txt}{space 32}castellon  {c |}{col 44}{res}{space 2} .0120632{col 56}{space 2} .0156579{col 67}{space 1}    0.77{col 76}{space 3}0.441{col 84}{space 4}-.0186263{col 97}{space 3} .0427527
{txt}{space 30}ciudad real  {c |}{col 44}{res}{space 2} .0267835{col 56}{space 2}  .018305{col 67}{space 1}    1.46{col 76}{space 3}0.143{col 84}{space 4}-.0090942{col 97}{space 3} .0626613
{txt}{space 34}cordoba  {c |}{col 44}{res}{space 2}-.0104927{col 56}{space 2} .0146064{col 67}{space 1}   -0.72{col 76}{space 3}0.473{col 84}{space 4}-.0391212{col 97}{space 3} .0181358
{txt}{space 35}cuenca  {c |}{col 44}{res}{space 2} .0152975{col 56}{space 2} .0240865{col 67}{space 1}    0.64{col 76}{space 3}0.525{col 84}{space 4} -.031912{col 97}{space 3} .0625069
{txt}{space 33}gipuzkoa  {c |}{col 44}{res}{space 2}-.1248563{col 56}{space 2} .0171072{col 67}{space 1}   -7.30{col 76}{space 3}0.000{col 84}{space 4}-.1583863{col 97}{space 3}-.0913262
{txt}{space 35}girona  {c |}{col 44}{res}{space 2} -.104176{col 56}{space 2} .0188738{col 67}{space 1}   -5.52{col 76}{space 3}0.000{col 84}{space 4}-.1411686{col 97}{space 3}-.0671833
{txt}{space 34}granada  {c |}{col 44}{res}{space 2}  .044587{col 56}{space 2} .0146298{col 67}{space 1}    3.05{col 76}{space 3}0.002{col 84}{space 4} .0159127{col 97}{space 3} .0732612
{txt}{space 30}guadalajara  {c |}{col 44}{res}{space 2} .0628337{col 56}{space 2} .0195415{col 67}{space 1}    3.22{col 76}{space 3}0.001{col 84}{space 4} .0245325{col 97}{space 3} .1011349
{txt}{space 35}huelva  {c |}{col 44}{res}{space 2} .0246106{col 56}{space 2} .0195347{col 67}{space 1}    1.26{col 76}{space 3}0.208{col 84}{space 4}-.0136774{col 97}{space 3} .0628986
{txt}{space 35}huesca  {c |}{col 44}{res}{space 2} .0058148{col 56}{space 2} .0226475{col 67}{space 1}    0.26{col 76}{space 3}0.797{col 84}{space 4}-.0385741{col 97}{space 3} .0502038
{txt}{space 27}islas baleares  {c |}{col 44}{res}{space 2}-.0102197{col 56}{space 2} .0181377{col 67}{space 1}   -0.56{col 76}{space 3}0.573{col 84}{space 4}-.0457695{col 97}{space 3} .0253301
{txt}{space 37}jaen  {c |}{col 44}{res}{space 2}  .026827{col 56}{space 2} .0155505{col 67}{space 1}    1.73{col 76}{space 3}0.085{col 84}{space 4}-.0036519{col 97}{space 3} .0573059
{txt}{space 33}la rioja  {c |}{col 44}{res}{space 2} .0519309{col 56}{space 2} .0170012{col 67}{space 1}    3.05{col 76}{space 3}0.002{col 84}{space 4} .0186086{col 97}{space 3} .0852532
{txt}{space 31}las palmas  {c |}{col 44}{res}{space 2} .0073344{col 56}{space 2} .0166417{col 67}{space 1}    0.44{col 76}{space 3}0.659{col 84}{space 4}-.0252832{col 97}{space 3}  .039952
{txt}{space 37}leon  {c |}{col 44}{res}{space 2} .0360941{col 56}{space 2} .0185484{col 67}{space 1}    1.95{col 76}{space 3}0.052{col 84}{space 4}-.0002607{col 97}{space 3}  .072449
{txt}{space 35}lleida  {c |}{col 44}{res}{space 2}-.0647606{col 56}{space 2} .0183764{col 67}{space 1}   -3.52{col 76}{space 3}0.000{col 84}{space 4}-.1007782{col 97}{space 3} -.028743
{txt}{space 37}lugo  {c |}{col 44}{res}{space 2} .0004451{col 56}{space 2}  .017879{col 67}{space 1}    0.02{col 76}{space 3}0.980{col 84}{space 4}-.0345977{col 97}{space 3}  .035488
{txt}{space 35}madrid  {c |}{col 44}{res}{space 2}-.0013798{col 56}{space 2} .0123914{col 67}{space 1}   -0.11{col 76}{space 3}0.911{col 84}{space 4}-.0256668{col 97}{space 3} .0229073
{txt}{space 35}malaga  {c |}{col 44}{res}{space 2} .0335514{col 56}{space 2} .0129973{col 67}{space 1}    2.58{col 76}{space 3}0.010{col 84}{space 4} .0080767{col 97}{space 3}  .059026
{txt}{space 35}murcia  {c |}{col 44}{res}{space 2} .0135592{col 56}{space 2} .0129433{col 67}{space 1}    1.05{col 76}{space 3}0.295{col 84}{space 4}-.0118096{col 97}{space 3}  .038928
{txt}{space 34}navarra  {c |}{col 44}{res}{space 2}-.0348892{col 56}{space 2} .0171374{col 67}{space 1}   -2.04{col 76}{space 3}0.042{col 84}{space 4}-.0684784{col 97}{space 3}-.0013001
{txt}{space 34}ourense  {c |}{col 44}{res}{space 2} .0116986{col 56}{space 2} .0192417{col 67}{space 1}    0.61{col 76}{space 3}0.543{col 84}{space 4} -.026015{col 97}{space 3} .0494122
{txt}{space 33}palencia  {c |}{col 44}{res}{space 2} .0193746{col 56}{space 2} .0240614{col 67}{space 1}    0.81{col 76}{space 3}0.421{col 84}{space 4}-.0277857{col 97}{space 3} .0665349
{txt}{space 31}pontevedra  {c |}{col 44}{res}{space 2} -.002319{col 56}{space 2} .0139647{col 67}{space 1}   -0.17{col 76}{space 3}0.868{col 84}{space 4}-.0296896{col 97}{space 3} .0250517
{txt}{space 32}salamanca  {c |}{col 44}{res}{space 2} .0218012{col 56}{space 2}  .019134{col 67}{space 1}    1.14{col 76}{space 3}0.255{col 84}{space 4}-.0157014{col 97}{space 3} .0593038
{txt}{space 19}santa cruz de tenerife  {c |}{col 44}{res}{space 2} .0513185{col 56}{space 2}  .014151{col 67}{space 1}    3.63{col 76}{space 3}0.000{col 84}{space 4} .0235827{col 97}{space 3} .0790544
{txt}{space 34}segovia  {c |}{col 44}{res}{space 2} .0662374{col 56}{space 2} .0326577{col 67}{space 1}    2.03{col 76}{space 3}0.043{col 84}{space 4} .0022284{col 97}{space 3} .1302463
{txt}{space 34}sevilla  {c |}{col 44}{res}{space 2}  .003234{col 56}{space 2} .0141676{col 67}{space 1}    0.23{col 76}{space 3}0.819{col 84}{space 4}-.0245345{col 97}{space 3} .0310025
{txt}{space 36}soria  {c |}{col 44}{res}{space 2} .1104667{col 56}{space 2} .0528802{col 67}{space 1}    2.09{col 76}{space 3}0.037{col 84}{space 4} .0068218{col 97}{space 3} .2141116
{txt}{space 32}tarragona  {c |}{col 44}{res}{space 2}-.0604654{col 56}{space 2} .0184589{col 67}{space 1}   -3.28{col 76}{space 3}0.001{col 84}{space 4}-.0966447{col 97}{space 3} -.024286
{txt}{space 35}teruel  {c |}{col 44}{res}{space 2}-.0051612{col 56}{space 2} .0252729{col 67}{space 1}   -0.20{col 76}{space 3}0.838{col 84}{space 4}-.0546959{col 97}{space 3} .0443736
{txt}{space 35}toledo  {c |}{col 44}{res}{space 2} .0434408{col 56}{space 2} .0152967{col 67}{space 1}    2.84{col 76}{space 3}0.005{col 84}{space 4} .0134593{col 97}{space 3} .0734224
{txt}{space 33}valencia  {c |}{col 44}{res}{space 2} .0207639{col 56}{space 2} .0118693{col 67}{space 1}    1.75{col 76}{space 3}0.080{col 84}{space 4}-.0024998{col 97}{space 3} .0440276
{txt}{space 31}valladolid  {c |}{col 44}{res}{space 2}-.0013444{col 56}{space 2} .0153582{col 67}{space 1}   -0.09{col 76}{space 3}0.930{col 84}{space 4}-.0314463{col 97}{space 3} .0287575
{txt}{space 34}vizcaya  {c |}{col 44}{res}{space 2}-.0935145{col 56}{space 2}  .013309{col 67}{space 1}   -7.03{col 76}{space 3}0.000{col 84}{space 4}   -.1196{col 97}{space 3} -.067429
{txt}{space 35}zamora  {c |}{col 44}{res}{space 2} .0792289{col 56}{space 2} .0253676{col 67}{space 1}    3.12{col 76}{space 3}0.002{col 84}{space 4} .0295084{col 97}{space 3} .1289494
{txt}{space 33}zaragoza  {c |}{col 44}{res}{space 2} .0101884{col 56}{space 2} .0145908{col 67}{space 1}    0.70{col 76}{space 3}0.485{col 84}{space 4}-.0184094{col 97}{space 3} .0387863
{txt}{space 42} {c |}
{space 25}municipality_size {c |}
{space 5}Between 2,001 and 10,000 inhabitants  {c |}{col 44}{res}{space 2}-.0003242{col 56}{space 2} .0067504{col 67}{space 1}   -0.05{col 76}{space 3}0.962{col 84}{space 4} -.013555{col 97}{space 3} .0129066
{txt}{space 4}Between 10,001 and 50,000 inhabitants  {c |}{col 44}{res}{space 2}-.0004527{col 56}{space 2} .0064998{col 67}{space 1}   -0.07{col 76}{space 3}0.944{col 84}{space 4}-.0131924{col 97}{space 3} .0122869
{txt}{space 3}Between 50,001 and 100,000 inhabitants  {c |}{col 44}{res}{space 2} .0040364{col 56}{space 2} .0072343{col 67}{space 1}    0.56{col 76}{space 3}0.577{col 84}{space 4}-.0101428{col 97}{space 3} .0182156
{txt}{space 2}Between 100,001 and 400,000 inhabitants  {c |}{col 44}{res}{space 2} .0103596{col 56}{space 2} .0066467{col 67}{space 1}    1.56{col 76}{space 3}0.119{col 84}{space 4}-.0026678{col 97}{space 3} .0233871
{txt}Between 400,001 and 1,000,000 inhabitants  {c |}{col 44}{res}{space 2}-.0091396{col 56}{space 2} .0091345{col 67}{space 1}   -1.00{col 76}{space 3}0.317{col 84}{space 4}-.0270432{col 97}{space 3}  .008764
{txt}{space 10}More than 1,000,001 inhabitants  {c |}{col 44}{res}{space 2} .0127025{col 56}{space 2} .0088179{col 67}{space 1}    1.44{col 76}{space 3}0.150{col 84}{space 4}-.0045805{col 97}{space 3} .0299855
{txt}{space 42} {c |}
{space 36}female {c |}{col 44}{res}{space 2} .0083767{col 56}{space 2} .0030193{col 67}{space 1}    2.77{col 76}{space 3}0.006{col 84}{space 4} .0024589{col 97}{space 3} .0142944
{txt}{space 39}age {c |}{col 44}{res}{space 2}  .001725{col 56}{space 2} .0001361{col 67}{space 1}   12.67{col 76}{space 3}0.000{col 84}{space 4} .0014582{col 97}{space 3} .0019918
{txt}{space 42} {c |}
{space 33}education {c |}
{space 32}Secondary  {c |}{col 44}{res}{space 2}-.0265657{col 56}{space 2} .0037712{col 67}{space 1}   -7.04{col 76}{space 3}0.000{col 84}{space 4}-.0339573{col 97}{space 3}-.0191741
{txt}{space 25}Higher Education  {c |}{col 44}{res}{space 2}-.0421942{col 56}{space 2}  .004051{col 67}{space 1}  -10.42{col 76}{space 3}0.000{col 84}{space 4} -.050134{col 97}{space 3}-.0342543
{txt}{space 42} {c |}
{space 36}status {c |}
{space 31}Unemployed  {c |}{col 44}{res}{space 2} .0088615{col 56}{space 2} .0044384{col 67}{space 1}    2.00{col 76}{space 3}0.046{col 84}{space 4} .0001622{col 97}{space 3} .0175608
{txt}{space 34}Retired  {c |}{col 44}{res}{space 2} .0397878{col 56}{space 2} .0051652{col 67}{space 1}    7.70{col 76}{space 3}0.000{col 84}{space 4}  .029664{col 97}{space 3} .0499116
{txt}{space 34}Student  {c |}{col 44}{res}{space 2} .0182498{col 56}{space 2} .0078401{col 67}{space 1}    2.33{col 76}{space 3}0.020{col 84}{space 4} .0028833{col 97}{space 3} .0336163
{txt}{space 30}Housekeeper  {c |}{col 44}{res}{space 2} .0164239{col 56}{space 2} .0070538{col 67}{space 1}    2.33{col 76}{space 3}0.020{col 84}{space 4} .0025984{col 97}{space 3} .0302494
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} .1612474{col 56}{space 2} .0269119{col 67}{space 1}    5.99{col 76}{space 3}0.000{col 84}{space 4} .1085001{col 97}{space 3} .2139946
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}20{txt}, {res}74474{txt}) = {res}12.581{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\checkmark$"

{txt}added macro:
           e(SurveyFE) : "{res:$\checkmark$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\times$"

{txt}added macro:
           e(PeriodFE) : "{res:$\times$}"

{com}. estadd local PeriodCtrols "$\times$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\times$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Post-09"

{txt}added macro:
             e(Sample) : "{res:Post-09}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Q1"

{txt}added macro:
            e(Outcome) : "{res:Q1}"

{com}. 
. boottest top_prizes_gdp_ours, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_ours

{txt}{col 28}t(49) = {res}    0.0160
{col 25}{txt}Prob>|t| = {res}    0.9880

95%{txt} confidence set for null hypothesis expression: {res}[−.0184, .01585]
{txt}
{com}. 
. ** Col 6, New Table 3. Propensities corrected + Fixed effects corrected, POST period, Q1:
. eststo b_pooledQ1: areg vote_incumbent top_prizes_gdp_ours c.expenditure_gdp_ours##i.year_original i.prov_num preperiod $individual_characteristics $ind_char_preperiod i.prov_num#preperiod, absorb(survey) 
{txt}{p 0 6 2}note: {bf:1988.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1989.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1990.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1991.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1992.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1993.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1994.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1995.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1996.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1997.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1998.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1999.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2000.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2001.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2002.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2003.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2004.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2005.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2006.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2007.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2008.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2009.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2010.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2011.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2012.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2013.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2014.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2015.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2016.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2017.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2018.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2019.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2020.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2021.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2022.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:preperiod} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#7.municipality_size} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#0b.female} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#1.female} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#3.education} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#5.status} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:50.prov_num#1.preperiod} omitted because of collinearity.{p_end}
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 52}{lalign 17:Number of obs}{col 69} = {res}{ralign 7:217,624}
{txt}{col 1}Absorbed variable: {res:survey}{col 52}{lalign 17:No. of categories}{col 69} = {res}{ralign 7:56}
{txt}{col 52}{lalign 17:F({res:163}, {res:217405})}{col 69} = {res}{ralign 7:40.50}
{txt}{col 52}{lalign 17:Prob > F}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 52}{lalign 17:R-squared}{col 69} = {res}{ralign 7:0.0423}
{txt}{col 52}{lalign 17:Adj R-squared}{col 69} = {res}{ralign 7:0.0413}
{txt}{col 52}{lalign 17:Root MSE}{col 69} = {res}{ralign 7:0.4243}

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              vote_incumbent{col 46}{c |} Coefficient{col 58}  Std. err.{col 70}      t{col 78}   P>|t|{col 86}     [95% con{col 99}f. interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}top_prizes_gdp_ours {c |}{col 46}{res}{space 2} .0027988{col 58}{space 2} .0032408{col 69}{space 1}    0.86{col 78}{space 3}0.388{col 86}{space 4}-.0035531{col 99}{space 3} .0091506
{txt}{space 24}expenditure_gdp_ours {c |}{col 46}{res}{space 2}-.0463972{col 58}{space 2} .1176161{col 69}{space 1}   -0.39{col 78}{space 3}0.693{col 86}{space 4}-.2769218{col 99}{space 3} .1841274
{txt}{space 44} {c |}
{space 31}year_original {c |}
{space 39}1988  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1989  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1990  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1991  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1992  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1993  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1994  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1995  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1996  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1997  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1998  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1999  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2000  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2001  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2002  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2003  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2004  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2005  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2006  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2007  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2008  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2009  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2010  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2011  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2012  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2013  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2014  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2015  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2016  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2017  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2018  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2019  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2020  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2021  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2022  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 8}year_original#c.expenditure_gdp_ours {c |}
{space 39}1988  {c |}{col 46}{res}{space 2}-.0486549{col 58}{space 2} .1642019{col 69}{space 1}   -0.30{col 78}{space 3}0.767{col 86}{space 4}-.3704864{col 99}{space 3} .2731766
{txt}{space 39}1989  {c |}{col 46}{res}{space 2}-.1240307{col 58}{space 2} .1351523{col 69}{space 1}   -0.92{col 78}{space 3}0.359{col 86}{space 4}-.3889259{col 99}{space 3} .1408645
{txt}{space 39}1990  {c |}{col 46}{res}{space 2}-.2607907{col 58}{space 2} .1348843{col 69}{space 1}   -1.93{col 78}{space 3}0.053{col 86}{space 4}-.5251606{col 99}{space 3} .0035793
{txt}{space 39}1991  {c |}{col 46}{res}{space 2}-.3344686{col 58}{space 2} .1673416{col 69}{space 1}   -2.00{col 78}{space 3}0.046{col 86}{space 4} -.662454{col 99}{space 3}-.0064832
{txt}{space 39}1992  {c |}{col 46}{res}{space 2} -.250849{col 58}{space 2}  .141055{col 69}{space 1}   -1.78{col 78}{space 3}0.075{col 86}{space 4}-.5273133{col 99}{space 3} .0256153
{txt}{space 39}1993  {c |}{col 46}{res}{space 2}-.0550071{col 58}{space 2} .1321655{col 69}{space 1}   -0.42{col 78}{space 3}0.677{col 86}{space 4}-.3140481{col 99}{space 3}  .204034
{txt}{space 39}1994  {c |}{col 46}{res}{space 2} -.008659{col 58}{space 2} .1339737{col 69}{space 1}   -0.06{col 78}{space 3}0.948{col 86}{space 4}-.2712441{col 99}{space 3}  .253926
{txt}{space 39}1995  {c |}{col 46}{res}{space 2}-.0755988{col 58}{space 2} .1310612{col 69}{space 1}   -0.58{col 78}{space 3}0.564{col 86}{space 4}-.3324755{col 99}{space 3} .1812778
{txt}{space 39}1996  {c |}{col 46}{res}{space 2}-.0323507{col 58}{space 2} .1425721{col 69}{space 1}   -0.23{col 78}{space 3}0.820{col 86}{space 4}-.3117884{col 99}{space 3}  .247087
{txt}{space 39}1997  {c |}{col 46}{res}{space 2} .4559157{col 58}{space 2} .1609248{col 69}{space 1}    2.83{col 78}{space 3}0.005{col 86}{space 4} .1405072{col 99}{space 3} .7713243
{txt}{space 39}1998  {c |}{col 46}{res}{space 2} .3808603{col 58}{space 2} .1699558{col 69}{space 1}    2.24{col 78}{space 3}0.025{col 86}{space 4} .0477512{col 99}{space 3} .7139693
{txt}{space 39}1999  {c |}{col 46}{res}{space 2} .3972035{col 58}{space 2} .1670498{col 69}{space 1}    2.38{col 78}{space 3}0.017{col 86}{space 4} .0697902{col 99}{space 3} .7246169
{txt}{space 39}2000  {c |}{col 46}{res}{space 2} .4554152{col 58}{space 2} .1191728{col 69}{space 1}    3.82{col 78}{space 3}0.000{col 86}{space 4} .2218395{col 99}{space 3} .6889909
{txt}{space 39}2001  {c |}{col 46}{res}{space 2} .2570893{col 58}{space 2} .1592073{col 69}{space 1}    1.61{col 78}{space 3}0.106{col 86}{space 4}-.0549531{col 99}{space 3} .5691317
{txt}{space 39}2002  {c |}{col 46}{res}{space 2} .3370807{col 58}{space 2}  .162706{col 69}{space 1}    2.07{col 78}{space 3}0.038{col 86}{space 4}  .018181{col 99}{space 3} .6559804
{txt}{space 39}2003  {c |}{col 46}{res}{space 2} .1109218{col 58}{space 2} .1555352{col 69}{space 1}    0.71{col 78}{space 3}0.476{col 86}{space 4}-.1939234{col 99}{space 3} .4157669
{txt}{space 39}2004  {c |}{col 46}{res}{space 2} .3773415{col 58}{space 2}  .118403{col 69}{space 1}    3.19{col 78}{space 3}0.001{col 86}{space 4} .1452746{col 99}{space 3} .6094083
{txt}{space 39}2005  {c |}{col 46}{res}{space 2}-.2115093{col 58}{space 2} .1555871{col 69}{space 1}   -1.36{col 78}{space 3}0.174{col 86}{space 4}-.5164562{col 99}{space 3} .0934375
{txt}{space 39}2006  {c |}{col 46}{res}{space 2}-.1640777{col 58}{space 2} .1461967{col 69}{space 1}   -1.12{col 78}{space 3}0.262{col 86}{space 4}-.4506196{col 99}{space 3} .1224642
{txt}{space 39}2007  {c |}{col 46}{res}{space 2} .0266049{col 58}{space 2} .1405524{col 69}{space 1}    0.19{col 78}{space 3}0.850{col 86}{space 4}-.2488743{col 99}{space 3} .3020841
{txt}{space 39}2008  {c |}{col 46}{res}{space 2} .0415746{col 58}{space 2} .1178124{col 69}{space 1}    0.35{col 78}{space 3}0.724{col 86}{space 4}-.1893347{col 99}{space 3}  .272484
{txt}{space 39}2009  {c |}{col 46}{res}{space 2}-.3057261{col 58}{space 2} .1455534{col 69}{space 1}   -2.10{col 78}{space 3}0.036{col 86}{space 4}-.5910071{col 99}{space 3}-.0204452
{txt}{space 39}2010  {c |}{col 46}{res}{space 2}-.3232798{col 58}{space 2} .1719557{col 69}{space 1}   -1.88{col 78}{space 3}0.060{col 86}{space 4}-.6603087{col 99}{space 3} .0137491
{txt}{space 39}2011  {c |}{col 46}{res}{space 2}-.2909442{col 58}{space 2} .1842467{col 69}{space 1}   -1.58{col 78}{space 3}0.114{col 86}{space 4}-.6520631{col 99}{space 3} .0701747
{txt}{space 39}2012  {c |}{col 46}{res}{space 2} .4210625{col 58}{space 2} .1827216{col 69}{space 1}    2.30{col 78}{space 3}0.021{col 86}{space 4} .0629327{col 99}{space 3} .7791923
{txt}{space 39}2013  {c |}{col 46}{res}{space 2} .1728771{col 58}{space 2} .1775258{col 69}{space 1}    0.97{col 78}{space 3}0.330{col 86}{space 4} -.175069{col 99}{space 3} .5208232
{txt}{space 39}2014  {c |}{col 46}{res}{space 2} .1140121{col 58}{space 2}  .190573{col 69}{space 1}    0.60{col 78}{space 3}0.550{col 86}{space 4}-.2595061{col 99}{space 3} .4875303
{txt}{space 39}2015  {c |}{col 46}{res}{space 2}  .263847{col 58}{space 2} .1903702{col 69}{space 1}    1.39{col 78}{space 3}0.166{col 86}{space 4}-.1092738{col 99}{space 3} .6369677
{txt}{space 39}2016  {c |}{col 46}{res}{space 2} .1022204{col 58}{space 2} .1761555{col 69}{space 1}    0.58{col 78}{space 3}0.562{col 86}{space 4}-.2430399{col 99}{space 3} .4474808
{txt}{space 39}2017  {c |}{col 46}{res}{space 2} .2889331{col 58}{space 2} .1803773{col 69}{space 1}    1.60{col 78}{space 3}0.109{col 86}{space 4}-.0646018{col 99}{space 3} .6424681
{txt}{space 39}2018  {c |}{col 46}{res}{space 2} .1590685{col 58}{space 2} .1819114{col 69}{space 1}    0.87{col 78}{space 3}0.382{col 86}{space 4}-.1974732{col 99}{space 3} .5156102
{txt}{space 39}2019  {c |}{col 46}{res}{space 2}-.1985249{col 58}{space 2}  .152985{col 69}{space 1}   -1.30{col 78}{space 3}0.194{col 86}{space 4}-.4983717{col 99}{space 3} .1013218
{txt}{space 39}2020  {c |}{col 46}{res}{space 2}-.0815114{col 58}{space 2} .1568719{col 69}{space 1}   -0.52{col 78}{space 3}0.603{col 86}{space 4}-.3889765{col 99}{space 3} .2259537
{txt}{space 39}2021  {c |}{col 46}{res}{space 2}-.2948602{col 58}{space 2} .1643258{col 69}{space 1}   -1.79{col 78}{space 3}0.073{col 86}{space 4}-.6169347{col 99}{space 3} .0272142
{txt}{space 39}2022  {c |}{col 46}{res}{space 2}-.2264093{col 58}{space 2} .1471985{col 69}{space 1}   -1.54{col 78}{space 3}0.124{col 86}{space 4}-.5149147{col 99}{space 3}  .062096
{txt}{space 44} {c |}
{space 36}prov_num {c |}
{space 38}alava  {c |}{col 46}{res}{space 2}-.0893721{col 58}{space 2} .0231522{col 69}{space 1}   -3.86{col 78}{space 3}0.000{col 86}{space 4}-.1347499{col 99}{space 3}-.0439943
{txt}{space 35}albacete  {c |}{col 46}{res}{space 2}-.0071287{col 58}{space 2} .0192332{col 69}{space 1}   -0.37{col 78}{space 3}0.711{col 86}{space 4}-.0448252{col 99}{space 3} .0305678
{txt}{space 35}alicante  {c |}{col 46}{res}{space 2} .0450542{col 58}{space 2}  .013874{col 69}{space 1}    3.25{col 78}{space 3}0.001{col 86}{space 4} .0178615{col 99}{space 3}  .072247
{txt}{space 36}almeria  {c |}{col 46}{res}{space 2} .0282723{col 58}{space 2} .0160655{col 69}{space 1}    1.76{col 78}{space 3}0.078{col 86}{space 4}-.0032156{col 99}{space 3} .0597602
{txt}{space 35}asturias  {c |}{col 46}{res}{space 2} .0005267{col 58}{space 2} .0168261{col 69}{space 1}    0.03{col 78}{space 3}0.975{col 86}{space 4} -.032452{col 99}{space 3} .0335054
{txt}{space 38}avila  {c |}{col 46}{res}{space 2}-.0168366{col 58}{space 2} .0261951{col 69}{space 1}   -0.64{col 78}{space 3}0.520{col 86}{space 4}-.0681783{col 99}{space 3} .0345052
{txt}{space 36}badajoz  {c |}{col 46}{res}{space 2} .0369137{col 58}{space 2} .0163635{col 69}{space 1}    2.26{col 78}{space 3}0.024{col 86}{space 4} .0048417{col 99}{space 3} .0689857
{txt}{space 34}barcelona  {c |}{col 46}{res}{space 2}-.0508255{col 58}{space 2} .0152967{col 69}{space 1}   -3.32{col 78}{space 3}0.001{col 86}{space 4}-.0808066{col 99}{space 3}-.0208443
{txt}{space 37}burgos  {c |}{col 46}{res}{space 2} .0313138{col 58}{space 2} .0228004{col 69}{space 1}    1.37{col 78}{space 3}0.170{col 86}{space 4}-.0133744{col 99}{space 3}  .076002
{txt}{space 36}caceres  {c |}{col 46}{res}{space 2} .0843288{col 58}{space 2} .0199435{col 69}{space 1}    4.23{col 78}{space 3}0.000{col 86}{space 4} .0452401{col 99}{space 3} .1234175
{txt}{space 38}cadiz  {c |}{col 46}{res}{space 2}-.0007346{col 58}{space 2}  .015258{col 69}{space 1}   -0.05{col 78}{space 3}0.962{col 86}{space 4}  -.03064{col 99}{space 3} .0291707
{txt}{space 34}cantabria  {c |}{col 46}{res}{space 2}-.0058612{col 58}{space 2} .0155389{col 69}{space 1}   -0.38{col 78}{space 3}0.706{col 86}{space 4} -.036317{col 99}{space 3} .0245947
{txt}{space 34}castellon  {c |}{col 46}{res}{space 2} .0120792{col 58}{space 2} .0167222{col 69}{space 1}    0.72{col 78}{space 3}0.470{col 86}{space 4}-.0206958{col 99}{space 3} .0448543
{txt}{space 32}ciudad real  {c |}{col 46}{res}{space 2} .0267573{col 58}{space 2} .0195491{col 69}{space 1}    1.37{col 78}{space 3}0.171{col 86}{space 4}-.0115585{col 99}{space 3} .0650732
{txt}{space 36}cordoba  {c |}{col 46}{res}{space 2}-.0104625{col 58}{space 2} .0155991{col 69}{space 1}   -0.67{col 78}{space 3}0.502{col 86}{space 4}-.0410364{col 99}{space 3} .0201115
{txt}{space 37}cuenca  {c |}{col 46}{res}{space 2} .0123773{col 58}{space 2} .0253076{col 69}{space 1}    0.49{col 78}{space 3}0.625{col 86}{space 4}-.0372249{col 99}{space 3} .0619796
{txt}{space 35}gipuzkoa  {c |}{col 46}{res}{space 2}-.1247266{col 58}{space 2} .0182688{col 69}{space 1}   -6.83{col 78}{space 3}0.000{col 86}{space 4} -.160533{col 99}{space 3}-.0889202
{txt}{space 37}girona  {c |}{col 46}{res}{space 2}-.1039815{col 58}{space 2} .0201543{col 69}{space 1}   -5.16{col 78}{space 3}0.000{col 86}{space 4}-.1434835{col 99}{space 3}-.0644794
{txt}{space 36}granada  {c |}{col 46}{res}{space 2}  .044206{col 58}{space 2} .0156126{col 69}{space 1}    2.83{col 78}{space 3}0.005{col 86}{space 4} .0136058{col 99}{space 3} .0748062
{txt}{space 32}guadalajara  {c |}{col 46}{res}{space 2} .0629195{col 58}{space 2} .0208692{col 69}{space 1}    3.01{col 78}{space 3}0.003{col 86}{space 4} .0220163{col 99}{space 3} .1038227
{txt}{space 37}huelva  {c |}{col 46}{res}{space 2} .0241074{col 58}{space 2} .0208474{col 69}{space 1}    1.16{col 78}{space 3}0.248{col 86}{space 4}-.0167529{col 99}{space 3} .0649678
{txt}{space 37}huesca  {c |}{col 46}{res}{space 2} .0027997{col 58}{space 2} .0237143{col 69}{space 1}    0.12{col 78}{space 3}0.906{col 86}{space 4}-.0436796{col 99}{space 3} .0492791
{txt}{space 29}islas baleares  {c |}{col 46}{res}{space 2}-.0099995{col 58}{space 2} .0193674{col 69}{space 1}   -0.52{col 78}{space 3}0.606{col 86}{space 4} -.047959{col 99}{space 3} .0279601
{txt}{space 39}jaen  {c |}{col 46}{res}{space 2} .0268028{col 58}{space 2} .0166074{col 69}{space 1}    1.61{col 78}{space 3}0.107{col 86}{space 4}-.0057474{col 99}{space 3} .0593529
{txt}{space 35}la rioja  {c |}{col 46}{res}{space 2} .0518539{col 58}{space 2} .0181564{col 69}{space 1}    2.86{col 78}{space 3}0.004{col 86}{space 4} .0162679{col 99}{space 3} .0874399
{txt}{space 33}las palmas  {c |}{col 46}{res}{space 2}  .007132{col 58}{space 2} .0177699{col 69}{space 1}    0.40{col 78}{space 3}0.688{col 86}{space 4}-.0276966{col 99}{space 3} .0419606
{txt}{space 39}leon  {c |}{col 46}{res}{space 2} .0360385{col 58}{space 2}  .019809{col 69}{space 1}    1.82{col 78}{space 3}0.069{col 86}{space 4}-.0027865{col 99}{space 3} .0748636
{txt}{space 37}lleida  {c |}{col 46}{res}{space 2} -.064939{col 58}{space 2} .0196234{col 69}{space 1}   -3.31{col 78}{space 3}0.001{col 86}{space 4}-.1034003{col 99}{space 3}-.0264776
{txt}{space 39}lugo  {c |}{col 46}{res}{space 2}-.0004312{col 58}{space 2} .0190441{col 69}{space 1}   -0.02{col 78}{space 3}0.982{col 86}{space 4}-.0377572{col 99}{space 3} .0368949
{txt}{space 37}madrid  {c |}{col 46}{res}{space 2}-.0015291{col 58}{space 2} .0132315{col 69}{space 1}   -0.12{col 78}{space 3}0.908{col 86}{space 4}-.0274625{col 99}{space 3} .0244044
{txt}{space 37}malaga  {c |}{col 46}{res}{space 2} .0335573{col 58}{space 2} .0138807{col 69}{space 1}    2.42{col 78}{space 3}0.016{col 86}{space 4} .0063515{col 99}{space 3} .0607632
{txt}{space 37}murcia  {c |}{col 46}{res}{space 2} .0135804{col 58}{space 2}  .013823{col 69}{space 1}    0.98{col 78}{space 3}0.326{col 86}{space 4}-.0135123{col 99}{space 3} .0406731
{txt}{space 36}navarra  {c |}{col 46}{res}{space 2} -.034768{col 58}{space 2} .0183012{col 69}{space 1}   -1.90{col 78}{space 3}0.057{col 86}{space 4}-.0706379{col 99}{space 3} .0011018
{txt}{space 36}ourense  {c |}{col 46}{res}{space 2} .0118075{col 58}{space 2} .0205488{col 69}{space 1}    0.57{col 78}{space 3}0.566{col 86}{space 4}-.0284676{col 99}{space 3} .0520826
{txt}{space 35}palencia  {c |}{col 46}{res}{space 2} .0193566{col 58}{space 2} .0256968{col 69}{space 1}    0.75{col 78}{space 3}0.451{col 86}{space 4}-.0310086{col 99}{space 3} .0697217
{txt}{space 33}pontevedra  {c |}{col 46}{res}{space 2}-.0022568{col 58}{space 2} .0149135{col 69}{space 1}   -0.15{col 78}{space 3}0.880{col 86}{space 4}-.0314868{col 99}{space 3} .0269733
{txt}{space 34}salamanca  {c |}{col 46}{res}{space 2} .0213075{col 58}{space 2} .0204197{col 69}{space 1}    1.04{col 78}{space 3}0.297{col 86}{space 4}-.0187146{col 99}{space 3} .0613296
{txt}{space 21}santa cruz de tenerife  {c |}{col 46}{res}{space 2} .0512306{col 58}{space 2} .0151122{col 69}{space 1}    3.39{col 78}{space 3}0.001{col 86}{space 4} .0216111{col 99}{space 3}   .08085
{txt}{space 36}segovia  {c |}{col 46}{res}{space 2} .0662858{col 58}{space 2} .0348773{col 69}{space 1}    1.90{col 78}{space 3}0.057{col 86}{space 4}-.0020729{col 99}{space 3} .1346444
{txt}{space 36}sevilla  {c |}{col 46}{res}{space 2} .0033364{col 58}{space 2} .0151297{col 69}{space 1}    0.22{col 78}{space 3}0.825{col 86}{space 4}-.0263175{col 99}{space 3} .0329903
{txt}{space 38}soria  {c |}{col 46}{res}{space 2}  .110404{col 58}{space 2} .0564743{col 69}{space 1}    1.95{col 78}{space 3}0.051{col 86}{space 4}-.0002842{col 99}{space 3} .2210923
{txt}{space 34}tarragona  {c |}{col 46}{res}{space 2}-.0612779{col 58}{space 2} .0196718{col 69}{space 1}   -3.12{col 78}{space 3}0.002{col 86}{space 4}-.0998341{col 99}{space 3}-.0227217
{txt}{space 37}teruel  {c |}{col 46}{res}{space 2}  -.00507{col 58}{space 2} .0269903{col 69}{space 1}   -0.19{col 78}{space 3}0.851{col 86}{space 4}-.0579703{col 99}{space 3} .0478303
{txt}{space 37}toledo  {c |}{col 46}{res}{space 2}  .043402{col 58}{space 2} .0163363{col 69}{space 1}    2.66{col 78}{space 3}0.008{col 86}{space 4} .0113832{col 99}{space 3} .0754208
{txt}{space 35}valencia  {c |}{col 46}{res}{space 2} .0206358{col 58}{space 2} .0126744{col 69}{space 1}    1.63{col 78}{space 3}0.103{col 86}{space 4}-.0042057{col 99}{space 3} .0454773
{txt}{space 33}valladolid  {c |}{col 46}{res}{space 2}-.0012751{col 58}{space 2} .0164017{col 69}{space 1}   -0.08{col 78}{space 3}0.938{col 86}{space 4} -.033422{col 99}{space 3} .0308717
{txt}{space 36}vizcaya  {c |}{col 46}{res}{space 2}-.0942232{col 58}{space 2} .0141695{col 69}{space 1}   -6.65{col 78}{space 3}0.000{col 86}{space 4} -.121995{col 99}{space 3}-.0664513
{txt}{space 37}zamora  {c |}{col 46}{res}{space 2} .0787257{col 58}{space 2} .0270802{col 69}{space 1}    2.91{col 78}{space 3}0.004{col 86}{space 4} .0256492{col 99}{space 3} .1318023
{txt}{space 35}zaragoza  {c |}{col 46}{res}{space 2} .0102158{col 58}{space 2} .0155824{col 69}{space 1}    0.66{col 78}{space 3}0.512{col 86}{space 4}-.0203254{col 99}{space 3} .0407569
{txt}{space 44} {c |}
{space 35}preperiod {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 27}municipality_size {c |}
{space 7}Between 2,001 and 10,000 inhabitants  {c |}{col 46}{res}{space 2}-.0003126{col 58}{space 2} .0072092{col 69}{space 1}   -0.04{col 78}{space 3}0.965{col 86}{space 4}-.0144425{col 99}{space 3} .0138173
{txt}{space 6}Between 10,001 and 50,000 inhabitants  {c |}{col 46}{res}{space 2}-.0004497{col 58}{space 2} .0069416{col 69}{space 1}   -0.06{col 78}{space 3}0.948{col 86}{space 4} -.014055{col 99}{space 3} .0131557
{txt}{space 5}Between 50,001 and 100,000 inhabitants  {c |}{col 46}{res}{space 2} .0040421{col 58}{space 2}  .007726{col 69}{space 1}    0.52{col 78}{space 3}0.601{col 86}{space 4}-.0111006{col 99}{space 3} .0191849
{txt}{space 4}Between 100,001 and 400,000 inhabitants  {c |}{col 46}{res}{space 2} .0103675{col 58}{space 2} .0070984{col 69}{space 1}    1.46{col 78}{space 3}0.144{col 86}{space 4}-.0035452{col 99}{space 3} .0242803
{txt}{space 2}Between 400,001 and 1,000,000 inhabitants  {c |}{col 46}{res}{space 2}-.0091347{col 58}{space 2} .0097554{col 69}{space 1}   -0.94{col 78}{space 3}0.349{col 86}{space 4} -.028255{col 99}{space 3} .0099856
{txt}{space 12}More than 1,000,001 inhabitants  {c |}{col 46}{res}{space 2}  .012707{col 58}{space 2} .0094172{col 69}{space 1}    1.35{col 78}{space 3}0.177{col 86}{space 4}-.0057505{col 99}{space 3} .0311645
{txt}{space 44} {c |}
{space 38}female {c |}{col 46}{res}{space 2}-.0169646{col 58}{space 2} .0025731{col 69}{space 1}   -6.59{col 78}{space 3}0.000{col 86}{space 4}-.0220079{col 99}{space 3}-.0119213
{txt}{space 41}age {c |}{col 46}{res}{space 2} .0017256{col 58}{space 2} .0001454{col 69}{space 1}   11.87{col 78}{space 3}0.000{col 86}{space 4} .0014407{col 99}{space 3} .0020106
{txt}{space 44} {c |}
{space 35}education {c |}
{space 34}Secondary  {c |}{col 46}{res}{space 2}-.0265641{col 58}{space 2} .0040276{col 69}{space 1}   -6.60{col 78}{space 3}0.000{col 86}{space 4} -.034458{col 99}{space 3}-.0186702
{txt}{space 27}Higher Education  {c |}{col 46}{res}{space 2}-.0422019{col 58}{space 2} .0043263{col 69}{space 1}   -9.75{col 78}{space 3}0.000{col 86}{space 4}-.0506813{col 99}{space 3}-.0337225
{txt}{space 44} {c |}
{space 38}status {c |}
{space 33}Unemployed  {c |}{col 46}{res}{space 2} .0088939{col 58}{space 2} .0047398{col 69}{space 1}    1.88{col 78}{space 3}0.061{col 86}{space 4} -.000396{col 99}{space 3} .0181839
{txt}{space 36}Retired  {c |}{col 46}{res}{space 2} .0397714{col 58}{space 2} .0055162{col 69}{space 1}    7.21{col 78}{space 3}0.000{col 86}{space 4} .0289598{col 99}{space 3} .0505831
{txt}{space 36}Student  {c |}{col 46}{res}{space 2} .0182697{col 58}{space 2} .0083729{col 69}{space 1}    2.18{col 78}{space 3}0.029{col 86}{space 4} .0018591{col 99}{space 3} .0346804
{txt}{space 32}Housekeeper  {c |}{col 46}{res}{space 2} .0164169{col 58}{space 2} .0075333{col 69}{space 1}    2.18{col 78}{space 3}0.029{col 86}{space 4} .0016518{col 99}{space 3} .0311819
{txt}{space 44} {c |}
{space 17}preperiod#municipality_size {c |}
{space 14}1#Less than 2,000 inhabitants  {c |}{col 46}{res}{space 2} .0364356{col 58}{space 2} .0116291{col 69}{space 1}    3.13{col 78}{space 3}0.002{col 86}{space 4} .0136429{col 99}{space 3} .0592284
{txt}{space 5}1#Between 2,001 and 10,000 inhabitants  {c |}{col 46}{res}{space 2} .0321886{col 58}{space 2} .0102083{col 69}{space 1}    3.15{col 78}{space 3}0.002{col 86}{space 4} .0121805{col 99}{space 3} .0521967
{txt}{space 4}1#Between 10,001 and 50,000 inhabitants  {c |}{col 46}{res}{space 2} .0287756{col 58}{space 2}  .009631{col 69}{space 1}    2.99{col 78}{space 3}0.003{col 86}{space 4}  .009899{col 99}{space 3} .0476522
{txt}{space 3}1#Between 50,001 and 100,000 inhabitants  {c |}{col 46}{res}{space 2} .0080313{col 58}{space 2} .0103185{col 69}{space 1}    0.78{col 78}{space 3}0.436{col 86}{space 4}-.0121927{col 99}{space 3} .0282552
{txt}{space 2}1#Between 100,001 and 400,000 inhabitants  {c |}{col 46}{res}{space 2} .0231688{col 58}{space 2} .0094409{col 69}{space 1}    2.45{col 78}{space 3}0.014{col 86}{space 4} .0046648{col 99}{space 3} .0416728
{txt}1#Between 400,001 and 1,000,000 inhabitants  {c |}{col 46}{res}{space 2}  .000128{col 58}{space 2}  .013325{col 69}{space 1}    0.01{col 78}{space 3}0.992{col 86}{space 4}-.0259886{col 99}{space 3} .0262447
{txt}{space 10}1#More than 1,000,001 inhabitants  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 28}preperiod#female {c |}
{space 40}0 1  {c |}{col 46}{res}{space 2} .0253435{col 58}{space 2} .0041253{col 69}{space 1}    6.14{col 78}{space 3}0.000{col 86}{space 4} .0172579{col 99}{space 3} .0334291
{txt}{space 40}1 0  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 40}1 1  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 29}preperiod#c.age {c |}
{space 42}1  {c |}{col 46}{res}{space 2} -.000798{col 58}{space 2} .0001746{col 69}{space 1}   -4.57{col 78}{space 3}0.000{col 86}{space 4}-.0011403{col 99}{space 3}-.0004557
{txt}{space 44} {c |}
{space 25}preperiod#education {c |}
{space 19}1#Primary School or less  {c |}{col 46}{res}{space 2}-.0226128{col 58}{space 2} .0056741{col 69}{space 1}   -3.99{col 78}{space 3}0.000{col 86}{space 4}-.0337339{col 99}{space 3}-.0114918
{txt}{space 32}1#Secondary  {c |}{col 46}{res}{space 2}-.0136428{col 58}{space 2} .0056124{col 69}{space 1}   -2.43{col 78}{space 3}0.015{col 86}{space 4} -.024643{col 99}{space 3}-.0026426
{txt}{space 25}1#Higher Education  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 28}preperiod#status {c |}
{space 33}1#Employed  {c |}{col 46}{res}{space 2}  .006302{col 58}{space 2} .0084537{col 69}{space 1}    0.75{col 78}{space 3}0.456{col 86}{space 4}-.0102671{col 99}{space 3}  .022871
{txt}{space 31}1#Unemployed  {c |}{col 46}{res}{space 2}-.0145218{col 58}{space 2} .0094577{col 69}{space 1}   -1.54{col 78}{space 3}0.125{col 86}{space 4}-.0330587{col 99}{space 3} .0040151
{txt}{space 34}1#Retired  {c |}{col 46}{res}{space 2}-.0101198{col 58}{space 2} .0085359{col 69}{space 1}   -1.19{col 78}{space 3}0.236{col 86}{space 4}-.0268501{col 99}{space 3} .0066104
{txt}{space 34}1#Student  {c |}{col 46}{res}{space 2}-.0367863{col 58}{space 2} .0128663{col 69}{space 1}   -2.86{col 78}{space 3}0.004{col 86}{space 4}-.0620041{col 99}{space 3}-.0115686
{txt}{space 30}1#Housekeeper  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 26}prov_num#preperiod {c |}
{space 33}a coruna#1  {c |}{col 46}{res}{space 2} .0013356{col 58}{space 2} .0193668{col 69}{space 1}    0.07{col 78}{space 3}0.945{col 86}{space 4}-.0366227{col 99}{space 3}  .039294
{txt}{space 36}alava#1  {c |}{col 46}{res}{space 2}-.0175553{col 58}{space 2} .0274747{col 69}{space 1}   -0.64{col 78}{space 3}0.523{col 86}{space 4}-.0714051{col 99}{space 3} .0362945
{txt}{space 33}albacete#1  {c |}{col 46}{res}{space 2} .0703554{col 58}{space 2}   .02472{col 69}{space 1}    2.85{col 78}{space 3}0.004{col 86}{space 4} .0219048{col 99}{space 3} .1188061
{txt}{space 33}alicante#1  {c |}{col 46}{res}{space 2} .0523999{col 58}{space 2} .0195297{col 69}{space 1}    2.68{col 78}{space 3}0.007{col 86}{space 4} .0141222{col 99}{space 3} .0906776
{txt}{space 34}almeria#1  {c |}{col 46}{res}{space 2} .0398337{col 58}{space 2} .0220226{col 69}{space 1}    1.81{col 78}{space 3}0.070{col 86}{space 4}  -.00333{col 99}{space 3} .0829974
{txt}{space 33}asturias#1  {c |}{col 46}{res}{space 2} .0130984{col 58}{space 2}  .022116{col 69}{space 1}    0.59{col 78}{space 3}0.554{col 86}{space 4}-.0302485{col 99}{space 3} .0564452
{txt}{space 36}avila#1  {c |}{col 46}{res}{space 2} .0736136{col 58}{space 2} .0318068{col 69}{space 1}    2.31{col 78}{space 3}0.021{col 86}{space 4}  .011273{col 99}{space 3} .1359541
{txt}{space 34}badajoz#1  {c |}{col 46}{res}{space 2} .0681285{col 58}{space 2} .0218394{col 69}{space 1}    3.12{col 78}{space 3}0.002{col 86}{space 4} .0253238{col 99}{space 3} .1109332
{txt}{space 32}barcelona#1  {c |}{col 46}{res}{space 2} .0363178{col 58}{space 2} .0189961{col 69}{space 1}    1.91{col 78}{space 3}0.056{col 86}{space 4}-.0009141{col 99}{space 3} .0735497
{txt}{space 35}burgos#1  {c |}{col 46}{res}{space 2}-.0211964{col 58}{space 2} .0280455{col 69}{space 1}   -0.76{col 78}{space 3}0.450{col 86}{space 4}-.0761649{col 99}{space 3} .0337722
{txt}{space 34}caceres#1  {c |}{col 46}{res}{space 2} .0017101{col 58}{space 2} .0251923{col 69}{space 1}    0.07{col 78}{space 3}0.946{col 86}{space 4}-.0476661{col 99}{space 3} .0510864
{txt}{space 36}cadiz#1  {c |}{col 46}{res}{space 2} .0720484{col 58}{space 2} .0210451{col 69}{space 1}    3.42{col 78}{space 3}0.001{col 86}{space 4} .0308006{col 99}{space 3} .1132962
{txt}{space 32}cantabria#1  {c |}{col 46}{res}{space 2} .0853333{col 58}{space 2}   .02157{col 69}{space 1}    3.96{col 78}{space 3}0.000{col 86}{space 4} .0430568{col 99}{space 3} .1276099
{txt}{space 32}castellon#1  {c |}{col 46}{res}{space 2} .0729667{col 58}{space 2} .0221578{col 69}{space 1}    3.29{col 78}{space 3}0.001{col 86}{space 4} .0295379{col 99}{space 3} .1163955
{txt}{space 30}ciudad real#1  {c |}{col 46}{res}{space 2} .0466226{col 58}{space 2} .0249284{col 69}{space 1}    1.87{col 78}{space 3}0.061{col 86}{space 4}-.0022364{col 99}{space 3} .0954816
{txt}{space 34}cordoba#1  {c |}{col 46}{res}{space 2}-.0172126{col 58}{space 2} .0210164{col 69}{space 1}   -0.82{col 78}{space 3}0.413{col 86}{space 4}-.0584042{col 99}{space 3}  .023979
{txt}{space 35}cuenca#1  {c |}{col 46}{res}{space 2} .0459523{col 58}{space 2} .0306931{col 69}{space 1}    1.50{col 78}{space 3}0.134{col 86}{space 4}-.0142053{col 99}{space 3}   .10611
{txt}{space 33}gipuzkoa#1  {c |}{col 46}{res}{space 2}-.0481298{col 58}{space 2} .0225467{col 69}{space 1}   -2.13{col 78}{space 3}0.033{col 86}{space 4}-.0923208{col 99}{space 3}-.0039388
{txt}{space 35}girona#1  {c |}{col 46}{res}{space 2}  .028976{col 58}{space 2} .0245551{col 69}{space 1}    1.18{col 78}{space 3}0.238{col 86}{space 4}-.0191514{col 99}{space 3} .0771034
{txt}{space 34}granada#1  {c |}{col 46}{res}{space 2}-.0102568{col 58}{space 2} .0213382{col 69}{space 1}   -0.48{col 78}{space 3}0.631{col 86}{space 4} -.052079{col 99}{space 3} .0315655
{txt}{space 30}guadalajara#1  {c |}{col 46}{res}{space 2} -.011195{col 58}{space 2} .0267624{col 69}{space 1}   -0.42{col 78}{space 3}0.676{col 86}{space 4}-.0636486{col 99}{space 3} .0412586
{txt}{space 35}huelva#1  {c |}{col 46}{res}{space 2} .0324643{col 58}{space 2} .0260842{col 69}{space 1}    1.24{col 78}{space 3}0.213{col 86}{space 4}-.0186601{col 99}{space 3} .0835887
{txt}{space 35}huesca#1  {c |}{col 46}{res}{space 2}-.0089368{col 58}{space 2} .0291338{col 69}{space 1}   -0.31{col 78}{space 3}0.759{col 86}{space 4}-.0660383{col 99}{space 3} .0481646
{txt}{space 27}islas baleares#1  {c |}{col 46}{res}{space 2} .0672887{col 58}{space 2} .0232172{col 69}{space 1}    2.90{col 78}{space 3}0.004{col 86}{space 4} .0217834{col 99}{space 3} .1127939
{txt}{space 37}jaen#1  {c |}{col 46}{res}{space 2} .0110109{col 58}{space 2} .0221386{col 69}{space 1}    0.50{col 78}{space 3}0.619{col 86}{space 4}-.0323803{col 99}{space 3}  .054402
{txt}{space 33}la rioja#1  {c |}{col 46}{res}{space 2}-.0649794{col 58}{space 2}  .024511{col 69}{space 1}   -2.65{col 78}{space 3}0.008{col 86}{space 4}-.1130203{col 99}{space 3}-.0169384
{txt}{space 31}las palmas#1  {c |}{col 46}{res}{space 2} .0726076{col 58}{space 2} .0226657{col 69}{space 1}    3.20{col 78}{space 3}0.001{col 86}{space 4} .0281834{col 99}{space 3} .1170318
{txt}{space 37}leon#1  {c |}{col 46}{res}{space 2}-.0142026{col 58}{space 2} .0251093{col 69}{space 1}   -0.57{col 78}{space 3}0.572{col 86}{space 4}-.0634162{col 99}{space 3}  .035011
{txt}{space 35}lleida#1  {c |}{col 46}{res}{space 2}-.0286892{col 58}{space 2} .0258354{col 69}{space 1}   -1.11{col 78}{space 3}0.267{col 86}{space 4} -.079326{col 99}{space 3} .0219476
{txt}{space 37}lugo#1  {c |}{col 46}{res}{space 2} .0445399{col 58}{space 2} .0245766{col 69}{space 1}    1.81{col 78}{space 3}0.070{col 86}{space 4}-.0036296{col 99}{space 3} .0927094
{txt}{space 35}madrid#1  {c |}{col 46}{res}{space 2} .0241205{col 58}{space 2} .0177585{col 69}{space 1}    1.36{col 78}{space 3}0.174{col 86}{space 4}-.0106857{col 99}{space 3} .0589268
{txt}{space 35}malaga#1  {c |}{col 46}{res}{space 2}  .066435{col 58}{space 2} .0178766{col 69}{space 1}    3.72{col 78}{space 3}0.000{col 86}{space 4} .0313973{col 99}{space 3} .1014727
{txt}{space 35}murcia#1  {c |}{col 46}{res}{space 2} .0298599{col 58}{space 2}  .018558{col 69}{space 1}    1.61{col 78}{space 3}0.108{col 86}{space 4}-.0065133{col 99}{space 3} .0662331
{txt}{space 34}navarra#1  {c |}{col 46}{res}{space 2}-.0148527{col 58}{space 2} .0231784{col 69}{space 1}   -0.64{col 78}{space 3}0.522{col 86}{space 4}-.0602818{col 99}{space 3} .0305763
{txt}{space 34}ourense#1  {c |}{col 46}{res}{space 2} .0282385{col 58}{space 2}  .025309{col 69}{space 1}    1.12{col 78}{space 3}0.265{col 86}{space 4}-.0213666{col 99}{space 3} .0778436
{txt}{space 33}palencia#1  {c |}{col 46}{res}{space 2} .0140063{col 58}{space 2} .0315216{col 69}{space 1}    0.44{col 78}{space 3}0.657{col 86}{space 4}-.0477752{col 99}{space 3} .0757877
{txt}{space 31}pontevedra#1  {c |}{col 46}{res}{space 2}-.0134242{col 58}{space 2} .0200909{col 69}{space 1}   -0.67{col 78}{space 3}0.504{col 86}{space 4}-.0528019{col 99}{space 3} .0259535
{txt}{space 32}salamanca#1  {c |}{col 46}{res}{space 2} .0828095{col 58}{space 2} .0258317{col 69}{space 1}    3.21{col 78}{space 3}0.001{col 86}{space 4} .0321801{col 99}{space 3}  .133439
{txt}{space 19}santa cruz de tenerife#1  {c |}{col 46}{res}{space 2}-.0184197{col 58}{space 2} .0206574{col 69}{space 1}   -0.89{col 78}{space 3}0.373{col 86}{space 4}-.0589077{col 99}{space 3} .0220683
{txt}{space 34}segovia#1  {c |}{col 46}{res}{space 2}-.0638619{col 58}{space 2} .0397706{col 69}{space 1}   -1.61{col 78}{space 3}0.108{col 86}{space 4}-.1418114{col 99}{space 3} .0140876
{txt}{space 34}sevilla#1  {c |}{col 46}{res}{space 2} .0767676{col 58}{space 2} .0185859{col 69}{space 1}    4.13{col 78}{space 3}0.000{col 86}{space 4} .0403398{col 99}{space 3} .1131955
{txt}{space 36}soria#1  {c |}{col 46}{res}{space 2}-.0543929{col 58}{space 2} .0609415{col 69}{space 1}   -0.89{col 78}{space 3}0.372{col 86}{space 4}-.1738367{col 99}{space 3} .0650509
{txt}{space 32}tarragona#1  {c |}{col 46}{res}{space 2} .0485645{col 58}{space 2} .0241536{col 69}{space 1}    2.01{col 78}{space 3}0.044{col 86}{space 4}  .001224{col 99}{space 3} .0959051
{txt}{space 35}teruel#1  {c |}{col 46}{res}{space 2}  .026215{col 58}{space 2} .0317007{col 69}{space 1}    0.83{col 78}{space 3}0.408{col 86}{space 4}-.0359176{col 99}{space 3} .0883475
{txt}{space 35}toledo#1  {c |}{col 46}{res}{space 2} .0115009{col 58}{space 2} .0222993{col 69}{space 1}    0.52{col 78}{space 3}0.606{col 86}{space 4}-.0322051{col 99}{space 3} .0552069
{txt}{space 33}valencia#1  {c |}{col 46}{res}{space 2} .0380405{col 58}{space 2} .0167614{col 69}{space 1}    2.27{col 78}{space 3}0.023{col 86}{space 4} .0051886{col 99}{space 3} .0708924
{txt}{space 31}valladolid#1  {c |}{col 46}{res}{space 2} .0426022{col 58}{space 2} .0222842{col 69}{space 1}    1.91{col 78}{space 3}0.056{col 86}{space 4}-.0010743{col 99}{space 3} .0862787
{txt}{space 34}vizcaya#1  {c |}{col 46}{res}{space 2}-.0789422{col 58}{space 2} .0192222{col 69}{space 1}   -4.11{col 78}{space 3}0.000{col 86}{space 4}-.1166173{col 99}{space 3}-.0412672
{txt}{space 35}zamora#1  {c |}{col 46}{res}{space 2}  .015271{col 58}{space 2} .0323427{col 69}{space 1}    0.47{col 78}{space 3}0.637{col 86}{space 4}  -.04812{col 99}{space 3}  .078662
{txt}{space 33}zaragoza#1  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} .1800238{col 58}{space 2} .0219059{col 69}{space 1}    8.22{col 78}{space 3}0.000{col 86}{space 4} .1370889{col 99}{space 3} .2229588
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}55{txt}, {res}217405{txt}) = {res}12.792{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\checkmark$"

{txt}added macro:
           e(SurveyFE) : "{res:$\checkmark$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\checkmark$"

{txt}added macro:
           e(PeriodFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodCtrols "$\checkmark$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\checkmark$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Pooled"

{txt}added macro:
             e(Sample) : "{res:Pooled}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Q1"

{txt}added macro:
            e(Outcome) : "{res:Q1}"

{com}. 
. boottest top_prizes_gdp_ours, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_ours

{txt}{col 28}t(49) = {res}    0.4179
{col 25}{txt}Prob>|t| = {res}    0.6867

95%{txt} confidence set for null hypothesis expression: {res}[−.0128, .01839]
{txt}
{com}. 
. 
. restore 
{txt}
{com}. 
. *** Assemble TABLE 3. MAIN PAPER 
. 
. local suffix: display %tdCCYYNNDD =daily("`c(current_date)'", "DMY")    
{res}{txt}
{com}. 
. esttab b_preQ1 b_postQ1 b_pooledQ1 using ${c -(}tables{c )-}`suffix'_Survey_Table_3_periodCtrol.tex, ///
>                 keep(top_prizes_gdp_ours) nocon r2 nostar ///           
>                 cells(b(fmt(3)) se(fmt(3) par) ci(fmt(3) par) CIstr(fmt(%-18s))) ///
>                 mtitles se mtitles("Vote Incumb." "Vote Incumb." ///
>                 "Vote Incumb.")  ///
>                 coeflabels(top_prizes_gdp_ours "Top Lottery prizes" expenditure_gdp_ours "Lottery expenditure") ///
>                 scalars("Estimation Estimation" "Data Data" "Sample Sample" "Outcome Time Outcome" "ProvinceFE Province FE" "YearFE Year FE" "SurveyFE Survey FE" "Propensity Propensity corrected")  replace                           
{res}{txt}{p 0 4 2}
(file {bf}
Results/Tables_Survey/20251023_Survey_Table_3_periodCtrol.tex{rm}
not found)
{p_end}
(output written to {browse  `"Results/Tables_Survey/20251023_Survey_Table_3_periodCtrol.tex"'})

{com}.                 
.                 
. /* NOTE: The WCB confidence sets are manually added to the tables from the Stata output 
> generated here.
> */
. 
. 
. **----------------------------------------------------------------------------**
. *** TABLE 4. MAIN PAPER: Effects of Lottery Prizes Cumulated over Electoral Term 
. *** on Survey Measures of Incumbent Party Support, by Period and Survey Date
. **----------------------------------------------------------------------------**
. 
. 
. use "Data/Our_data/20240723_SpanishLottery_Complete_survey.dta", clear 
{txt}(fileNameJDS)

{com}. 
. drop if province==""
{txt}(0 observations deleted)

{com}. encode province, gen(prov_num)
{txt}
{com}. 
. decode fixed_effect_num, gen(fixed)
{txt}
{com}. 
. ** Month (for which we have survery data) before the election: 
. gen preelectoral = 1 if yearmonth==tm(1986m5) | yearmonth==tm(1989m9) | ///
> yearmonth==tm(1993m5) | yearmonth==tm(1996m2) | yearmonth==tm(2000m2) | ///
> yearmonth==tm(2004m1) | yearmonth==tm(2008m1) | yearmonth==tm(2011m7) | ///
> yearmonth==tm(2015m10) | yearmonth==tm(2016m4)| yearmonth==tm(2019m3) 
{txt}(1,023,640 missing values generated)

{com}. ** Merge based on yearmonth province. 
. 
. preserve
{txt}
{com}. 
. ***
. 
. * read electoral data
. use "Data/Our_data/20250531_SpanishLottery_Complete_province.dta", clear 
{txt}
{com}. 
. *gen yearmonth=ym(year, month)
. replace yearmonth = yearmonth
{txt}(0 real changes made)

{com}. format yearmonth %tm
{txt}
{com}. label var yearmonth "Year-Month"
{txt}
{com}. 
. /*This is to match month of election in electoral data to pre month in survey 
> data. In any case, what I'm merging is the cumulative prize data */
. replace yearmonth = tm(1986m5) if yearmonth == tm(1986m6)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(1989m9) if yearmonth == tm(1989m10)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(1993m5) if yearmonth == tm(1993m6)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(1996m2) if yearmonth == tm(1996m3)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2000m2) if yearmonth == tm(2000m3)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2004m1) if yearmonth == tm(2004m3)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2008m1) if yearmonth == tm(2008m3)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2011m7) if yearmonth == tm(2011m11)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2015m10) if yearmonth == tm(2015m12)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2016m4) if yearmonth == tm(2016m6)
{txt}(50 real changes made)

{com}. replace yearmonth = tm(2019m3) if yearmonth == tm(2019m4)
{txt}(50 real changes made)

{com}. 
. 
. keep top_prizes_gdp_term_2 expenditure_gdp_term_2 year month yearmonth province_num province 
{txt}
{com}. 
. 
. ** province var is already clean: lower cased.
. 
. tempfile electoral_mon
{txt}
{com}. 
. save `electoral_mon'
{txt}{p 0 4 2}
file {bf}
/var/folders/54/7cxl8ny95nb4vs26j1q2yq9r0000gn/T//S_08037.000003{rm}
saved
as .dta format
{p_end}

{com}. 
. restore /*Load survey data back*/
{txt}
{com}. 
. preserve
{txt}
{com}. 
. ***
. 
. ** Keep only observations that correspond to the (available) month before election.
. keep if preelectoral==1
{txt}(1,023,640 observations deleted)

{com}. 
. merge m:1 yearmonth province using `electoral_mon'
{res}{txt}{p 0 7 2}
(variable
{bf:month} was {bf:byte}, now {bf:double} to accommodate using data's values)
{p_end}

{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}             165
{txt}{col 9}from master{col 30}{res}               0{txt}  (_merge==1)
{col 9}from using{col 30}{res}             165{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         105,870{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop if _merge!=3 /*1986, 2019-11, 2023 didn't merge b/c no survey data for them */
{txt}(165 observations deleted)

{com}. 
. ** Get period with 3 quarters from year t-1 + first quarter of year t. 
. rename year year_original
{res}{txt}
{com}. split fixed, parse(-) limit(1) gen(year)
{res}variable created as string: 
{txt}{col 1}year1

{com}. destring year1, replace
{txt}year1: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}. 
. ** Period control:
. gen preperiod=1 if year_original<2010
{txt}(23,440 missing values generated)

{com}. replace preperiod=0 if year_original>=2010
{txt}(23,440 real changes made)

{com}. 
. 
. global individual_characteristics "i.municipality_size female age i.education i.status"
{txt}
{com}. global ind_char_preperiod "preperiod#i.municipality_size preperiod#female preperiod#c.age preperiod#i.education preperiod#i.status"
{txt}
{com}. *global ind_char_preperiod "i.year_original#i.municipality_size i.year_original#female i.year_original#c.age i.year_original#i.education i.year_original#i.status"
. 
. ** Col 1, TABLE 4. Propensities corrected + Fixed effects corrected, PRE period, month preelection: 
. eststo b_pre_m: eststo b_pre_m: areg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original  $individual_characteristics if year_original<2010, absorb(prov_num) 
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:74,379}
{txt}{col 1}Absorbed variable: {res:prov_num}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:50}
{txt}{col 53}{lalign 17:F({res:26}, {res:74303})}{col 70} = {res}{ralign 6:24.89}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.0399}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.0390}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.4459}

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                            vote_incumbent{col 44}{c |} Coefficient{col 56}  Std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}top_prizes_gdp_term_2 {c |}{col 44}{res}{space 2} .0030047{col 56}{space 2} .0014459{col 67}{space 1}    2.08{col 76}{space 3}0.038{col 84}{space 4} .0001708{col 97}{space 3} .0058387
{txt}{space 20}expenditure_gdp_term_2 {c |}{col 44}{res}{space 2}-.0668509{col 56}{space 2} .0348351{col 67}{space 1}   -1.92{col 76}{space 3}0.055{col 84}{space 4}-.1351276{col 97}{space 3} .0014258
{txt}{space 42} {c |}
{space 29}year_original {c |}
{space 37}1993  {c |}{col 44}{res}{space 2}-.1516388{col 56}{space 2} .0415929{col 67}{space 1}   -3.65{col 76}{space 3}0.000{col 84}{space 4}-.2331608{col 97}{space 3}-.0701169
{txt}{space 37}1996  {c |}{col 44}{res}{space 2}-.1018928{col 56}{space 2} .0421237{col 67}{space 1}   -2.42{col 76}{space 3}0.016{col 84}{space 4} -.184455{col 97}{space 3}-.0193305
{txt}{space 37}2000  {c |}{col 44}{res}{space 2}-.2341708{col 56}{space 2}  .028144{col 67}{space 1}   -8.32{col 76}{space 3}0.000{col 84}{space 4}-.2893328{col 97}{space 3}-.1790087
{txt}{space 37}2004  {c |}{col 44}{res}{space 2}-.2377705{col 56}{space 2} .0279746{col 67}{space 1}   -8.50{col 76}{space 3}0.000{col 84}{space 4}-.2926005{col 97}{space 3}-.1829404
{txt}{space 37}2008  {c |}{col 44}{res}{space 2}-.0868612{col 56}{space 2} .0276193{col 67}{space 1}   -3.14{col 76}{space 3}0.002{col 84}{space 4} -.140995{col 97}{space 3}-.0327274
{txt}{space 42} {c |}
{space 4}year_original#c.expenditure_gdp_term_2 {c |}
{space 37}1993  {c |}{col 44}{res}{space 2} .0965501{col 56}{space 2} .0436345{col 67}{space 1}    2.21{col 76}{space 3}0.027{col 84}{space 4} .0110266{col 97}{space 3} .1820736
{txt}{space 37}1996  {c |}{col 44}{res}{space 2} .0719815{col 56}{space 2} .0515105{col 67}{space 1}    1.40{col 76}{space 3}0.162{col 84}{space 4}-.0289788{col 97}{space 3} .1729418
{txt}{space 37}2000  {c |}{col 44}{res}{space 2} .2193956{col 56}{space 2} .0329842{col 67}{space 1}    6.65{col 76}{space 3}0.000{col 84}{space 4} .1547467{col 97}{space 3} .2840445
{txt}{space 37}2004  {c |}{col 44}{res}{space 2} .1838856{col 56}{space 2} .0329241{col 67}{space 1}    5.59{col 76}{space 3}0.000{col 84}{space 4} .1193546{col 97}{space 3} .2484167
{txt}{space 37}2008  {c |}{col 44}{res}{space 2} .0842649{col 56}{space 2} .0331237{col 67}{space 1}    2.54{col 76}{space 3}0.011{col 84}{space 4} .0193427{col 97}{space 3} .1491871
{txt}{space 42} {c |}
{space 25}municipality_size {c |}
{space 5}Between 2,001 and 10,000 inhabitants  {c |}{col 44}{res}{space 2}-.0103436{col 56}{space 2} .0063119{col 67}{space 1}   -1.64{col 76}{space 3}0.101{col 84}{space 4}-.0227149{col 97}{space 3} .0020276
{txt}{space 4}Between 10,001 and 50,000 inhabitants  {c |}{col 44}{res}{space 2}-.0214435{col 56}{space 2} .0062904{col 67}{space 1}   -3.41{col 76}{space 3}0.001{col 84}{space 4}-.0337727{col 97}{space 3}-.0091143
{txt}{space 3}Between 50,001 and 100,000 inhabitants  {c |}{col 44}{res}{space 2}-.0248375{col 56}{space 2}  .007464{col 67}{space 1}   -3.33{col 76}{space 3}0.001{col 84}{space 4}-.0394669{col 97}{space 3} -.010208
{txt}{space 2}Between 100,001 and 400,000 inhabitants  {c |}{col 44}{res}{space 2}-.0136779{col 56}{space 2}  .006522{col 67}{space 1}   -2.10{col 76}{space 3}0.036{col 84}{space 4}-.0264609{col 97}{space 3}-.0008948
{txt}Between 400,001 and 1,000,000 inhabitants  {c |}{col 44}{res}{space 2}-.0186956{col 56}{space 2} .0111457{col 67}{space 1}   -1.68{col 76}{space 3}0.093{col 84}{space 4}-.0405411{col 97}{space 3}   .00315
{txt}{space 10}More than 1,000,001 inhabitants  {c |}{col 44}{res}{space 2}-.0384097{col 56}{space 2} .0115071{col 67}{space 1}   -3.34{col 76}{space 3}0.001{col 84}{space 4}-.0609635{col 97}{space 3}-.0158559
{txt}{space 42} {c |}
{space 36}female {c |}{col 44}{res}{space 2}-.0154335{col 56}{space 2}  .003705{col 67}{space 1}   -4.17{col 76}{space 3}0.000{col 84}{space 4}-.0226954{col 97}{space 3}-.0081717
{txt}{space 39}age {c |}{col 44}{res}{space 2} .0012157{col 56}{space 2} .0001467{col 67}{space 1}    8.29{col 76}{space 3}0.000{col 84}{space 4} .0009282{col 97}{space 3} .0015031
{txt}{space 42} {c |}
{space 33}education {c |}
{space 32}Secondary  {c |}{col 44}{res}{space 2} .0070932{col 56}{space 2} .0043887{col 67}{space 1}    1.62{col 76}{space 3}0.106{col 84}{space 4}-.0015086{col 97}{space 3}  .015695
{txt}{space 25}Higher Education  {c |}{col 44}{res}{space 2} .0123687{col 56}{space 2} .0052411{col 67}{space 1}    2.36{col 76}{space 3}0.018{col 84}{space 4} .0020962{col 97}{space 3} .0226412
{txt}{space 42} {c |}
{space 36}status {c |}
{space 31}Unemployed  {c |}{col 44}{res}{space 2}-.0221093{col 56}{space 2} .0062062{col 67}{space 1}   -3.56{col 76}{space 3}0.000{col 84}{space 4}-.0342735{col 97}{space 3}-.0099451
{txt}{space 34}Retired  {c |}{col 44}{res}{space 2} .0149621{col 56}{space 2} .0061734{col 67}{space 1}    2.42{col 76}{space 3}0.015{col 84}{space 4} .0028622{col 97}{space 3} .0270619
{txt}{space 34}Student  {c |}{col 44}{res}{space 2} -.018595{col 56}{space 2} .0074559{col 67}{space 1}   -2.49{col 76}{space 3}0.013{col 84}{space 4}-.0332084{col 97}{space 3}-.0039815
{txt}{space 30}Housekeeper  {c |}{col 44}{res}{space 2} .0060708{col 56}{space 2} .0057217{col 67}{space 1}    1.06{col 76}{space 3}0.289{col 84}{space 4}-.0051438{col 97}{space 3} .0172854
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} .3325784{col 56}{space 2} .0291943{col 67}{space 1}   11.39{col 76}{space 3}0.000{col 84}{space 4} .2753577{col 97}{space 3} .3897991
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}49{txt}, {res}74303{txt}) = {res}44.044{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. *areg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original i.prov_num $individual_characteristics if year_original<2010, absorb(survey) 
. 
. estadd local SurveyFE "$\times$"

{txt}added macro:
           e(SurveyFE) : "{res:$\times$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\times$"

{txt}added macro:
           e(PeriodFE) : "{res:$\times$}"

{com}. estadd local PeriodCtrols "$\times$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\times$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Pre-10"

{txt}added macro:
             e(Sample) : "{res:Pre-10}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Month pre-elect"

{txt}added macro:
            e(Outcome) : "{res:Month pre-elect}"

{com}. 
. boottest top_prizes_gdp_term_2, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_term_2

{txt}{col 28}t(49) = {res}    0.6501
{col 25}{txt}Prob>|t| = {res}    0.6046

95%{txt} confidence set for null hypothesis expression: {res}[−.01907, .05251]
{txt}
{com}. gen pre_sample=1 if e(sample)==1
{txt}(31,491 missing values generated)

{com}. 
. 
. ** Col 2, TABLE 4. Propensities corrected + Fixed effects corrected, POST period, month preelection:
. eststo b_post_m: areg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original $individual_characteristics if year_original>=2010, absorb(prov_num)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:23,199}
{txt}{col 1}Absorbed variable: {res:prov_num}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:50}
{txt}{col 53}{lalign 17:F({res:22}, {res:23127})}{col 70} = {res}{ralign 6:25.32}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.0379}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.0349}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.3845}

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                            vote_incumbent{col 44}{c |} Coefficient{col 56}  Std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}top_prizes_gdp_term_2 {c |}{col 44}{res}{space 2} .0050146{col 56}{space 2}  .008899{col 67}{space 1}    0.56{col 76}{space 3}0.573{col 84}{space 4}-.0124281{col 97}{space 3} .0224573
{txt}{space 20}expenditure_gdp_term_2 {c |}{col 44}{res}{space 2} -.073186{col 56}{space 2} .0548338{col 67}{space 1}   -1.33{col 76}{space 3}0.182{col 84}{space 4}-.1806639{col 97}{space 3}  .034292
{txt}{space 42} {c |}
{space 29}year_original {c |}
{space 37}2015  {c |}{col 44}{res}{space 2}-.1864318{col 56}{space 2} .0336842{col 67}{space 1}   -5.53{col 76}{space 3}0.000{col 84}{space 4} -.252455{col 97}{space 3}-.1204086
{txt}{space 37}2016  {c |}{col 44}{res}{space 2}-.1279372{col 56}{space 2} .0341732{col 67}{space 1}   -3.74{col 76}{space 3}0.000{col 84}{space 4}-.1949189{col 97}{space 3}-.0609555
{txt}{space 37}2019  {c |}{col 44}{res}{space 2}-.0280189{col 56}{space 2} .0256332{col 67}{space 1}   -1.09{col 76}{space 3}0.274{col 84}{space 4}-.0782617{col 97}{space 3} .0222238
{txt}{space 42} {c |}
{space 4}year_original#c.expenditure_gdp_term_2 {c |}
{space 37}2015  {c |}{col 44}{res}{space 2} .0869404{col 56}{space 2}  .037312{col 67}{space 1}    2.33{col 76}{space 3}0.020{col 84}{space 4} .0138065{col 97}{space 3} .1600743
{txt}{space 37}2016  {c |}{col 44}{res}{space 2}-.0167219{col 56}{space 2} .1490167{col 67}{space 1}   -0.11{col 76}{space 3}0.911{col 84}{space 4}-.3088047{col 97}{space 3} .2753608
{txt}{space 37}2019  {c |}{col 44}{res}{space 2}-.3520852{col 56}{space 2} .1253285{col 67}{space 1}   -2.81{col 76}{space 3}0.005{col 84}{space 4}-.5977373{col 97}{space 3} -.106433
{txt}{space 42} {c |}
{space 25}municipality_size {c |}
{space 5}Between 2,001 and 10,000 inhabitants  {c |}{col 44}{res}{space 2} .0007135{col 56}{space 2} .0105282{col 67}{space 1}    0.07{col 76}{space 3}0.946{col 84}{space 4}-.0199225{col 97}{space 3} .0213495
{txt}{space 4}Between 10,001 and 50,000 inhabitants  {c |}{col 44}{res}{space 2}-.0085748{col 56}{space 2} .0102179{col 67}{space 1}   -0.84{col 76}{space 3}0.401{col 84}{space 4}-.0286026{col 97}{space 3} .0114529
{txt}{space 3}Between 50,001 and 100,000 inhabitants  {c |}{col 44}{res}{space 2}-.0105206{col 56}{space 2}  .011533{col 67}{space 1}   -0.91{col 76}{space 3}0.362{col 84}{space 4} -.033126{col 97}{space 3} .0120848
{txt}{space 2}Between 100,001 and 400,000 inhabitants  {c |}{col 44}{res}{space 2}-.0104692{col 56}{space 2} .0105573{col 67}{space 1}   -0.99{col 76}{space 3}0.321{col 84}{space 4}-.0311622{col 97}{space 3} .0102238
{txt}Between 400,001 and 1,000,000 inhabitants  {c |}{col 44}{res}{space 2}-.0247558{col 56}{space 2} .0157109{col 67}{space 1}   -1.58{col 76}{space 3}0.115{col 84}{space 4}-.0555503{col 97}{space 3} .0060387
{txt}{space 10}More than 1,000,001 inhabitants  {c |}{col 44}{res}{space 2}-.0077661{col 56}{space 2} .0165996{col 67}{space 1}   -0.47{col 76}{space 3}0.640{col 84}{space 4}-.0403024{col 97}{space 3} .0247703
{txt}{space 42} {c |}
{space 36}female {c |}{col 44}{res}{space 2}-.0092761{col 56}{space 2}  .005264{col 67}{space 1}   -1.76{col 76}{space 3}0.078{col 84}{space 4}-.0195938{col 97}{space 3} .0010416
{txt}{space 39}age {c |}{col 44}{res}{space 2} .0016662{col 56}{space 2} .0002341{col 67}{space 1}    7.12{col 76}{space 3}0.000{col 84}{space 4} .0012073{col 97}{space 3}  .002125
{txt}{space 42} {c |}
{space 33}education {c |}
{space 32}Secondary  {c |}{col 44}{res}{space 2}-.0211113{col 56}{space 2} .0063816{col 67}{space 1}   -3.31{col 76}{space 3}0.001{col 84}{space 4}-.0336196{col 97}{space 3} -.008603
{txt}{space 25}Higher Education  {c |}{col 44}{res}{space 2}-.0282592{col 56}{space 2} .0072155{col 67}{space 1}   -3.92{col 76}{space 3}0.000{col 84}{space 4} -.042402{col 97}{space 3}-.0141164
{txt}{space 42} {c |}
{space 36}status {c |}
{space 31}Unemployed  {c |}{col 44}{res}{space 2} .0130704{col 56}{space 2} .0075614{col 67}{space 1}    1.73{col 76}{space 3}0.084{col 84}{space 4}-.0017504{col 97}{space 3} .0278912
{txt}{space 34}Retired  {c |}{col 44}{res}{space 2} .0435768{col 56}{space 2}  .009067{col 67}{space 1}    4.81{col 76}{space 3}0.000{col 84}{space 4} .0258049{col 97}{space 3} .0613487
{txt}{space 34}Student  {c |}{col 44}{res}{space 2} .0032637{col 56}{space 2} .0132512{col 67}{space 1}    0.25{col 76}{space 3}0.805{col 84}{space 4}-.0227095{col 97}{space 3} .0292368
{txt}{space 30}Housekeeper  {c |}{col 44}{res}{space 2} .0101657{col 56}{space 2}  .011812{col 67}{space 1}    0.86{col 76}{space 3}0.389{col 84}{space 4}-.0129867{col 97}{space 3} .0333181
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2}  .253853{col 56}{space 2} .0476648{col 67}{space 1}    5.33{col 76}{space 3}0.000{col 84}{space 4}  .160427{col 97}{space 3} .3472791
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}49{txt}, {res}23127{txt}) = {res}7.042{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\times$"

{txt}added macro:
           e(SurveyFE) : "{res:$\times$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\times$"

{txt}added macro:
           e(PeriodFE) : "{res:$\times$}"

{com}. estadd local PeriodCtrols "$\times$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\times$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Post-09"

{txt}added macro:
             e(Sample) : "{res:Post-09}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Month pre-elect"

{txt}added macro:
            e(Outcome) : "{res:Month pre-elect}"

{com}. 
. boottest top_prizes_gdp_term_2, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_term_2

{txt}{col 28}t(49) = {res}    0.5001
{col 25}{txt}Prob>|t| = {res}    0.6517

95%{txt} confidence set for null hypothesis expression: {res}[−.03672, .02229]
{txt}
{com}. gen post_sample=1 if e(sample)==1
{txt}(82,671 missing values generated)

{com}. 
. 
. ** Col 3, TABLE 4. Propensities corrected + Fixed effects corrected, POOLED period, month preelection:
. eststo b_pooled_m: reg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original i.prov_num preperiod $individual_characteristics $ind_char_preperiod i.prov_num#preperiod
{txt}{p 0 6 2}note: {bf:preperiod} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#7.municipality_size} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#0b.female} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#1.female} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#3.education} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#5.status} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:50.prov_num#1.preperiod} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}    97,578
{txt}{hline 13}{c +}{hline 34}   F(146, 97431)   = {res}    34.43
{txt}       Model {c |} {res} 938.753259       146  6.42981684   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 18195.8621    97,431  .186756393   {txt}R-squared       ={res}    0.0491
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0476
{txt}       Total {c |} {res} 19134.6153    97,577  .196097598   {txt}Root MSE        =   {res} .43215

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              vote_incumbent{col 46}{c |} Coefficient{col 58}  Std. err.{col 70}      t{col 78}   P>|t|{col 86}     [95% con{col 99}f. interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}top_prizes_gdp_term_2 {c |}{col 46}{res}{space 2} .0030434{col 58}{space 2} .0013877{col 69}{space 1}    2.19{col 78}{space 3}0.028{col 86}{space 4} .0003236{col 99}{space 3} .0057632
{txt}{space 22}expenditure_gdp_term_2 {c |}{col 46}{res}{space 2}-.0668848{col 58}{space 2} .0337577{col 69}{space 1}   -1.98{col 78}{space 3}0.048{col 86}{space 4}-.1330495{col 99}{space 3}-.0007201
{txt}{space 44} {c |}
{space 31}year_original {c |}
{space 39}1993  {c |}{col 46}{res}{space 2}-.1516275{col 58}{space 2}  .040307{col 69}{space 1}   -3.76{col 78}{space 3}0.000{col 86}{space 4}-.2306287{col 99}{space 3}-.0726263
{txt}{space 39}1996  {c |}{col 46}{res}{space 2}-.1019157{col 58}{space 2} .0408212{col 69}{space 1}   -2.50{col 78}{space 3}0.013{col 86}{space 4}-.1819248{col 99}{space 3}-.0219066
{txt}{space 39}2000  {c |}{col 46}{res}{space 2}-.2341849{col 58}{space 2} .0272738{col 69}{space 1}   -8.59{col 78}{space 3}0.000{col 86}{space 4}-.2876412{col 99}{space 3}-.1807287
{txt}{space 39}2004  {c |}{col 46}{res}{space 2}-.2377671{col 58}{space 2} .0271097{col 69}{space 1}   -8.77{col 78}{space 3}0.000{col 86}{space 4}-.2909017{col 99}{space 3}-.1846324
{txt}{space 39}2008  {c |}{col 46}{res}{space 2}-.0867968{col 58}{space 2} .0267635{col 69}{space 1}   -3.24{col 78}{space 3}0.001{col 86}{space 4}-.1392529{col 99}{space 3}-.0343407
{txt}{space 39}2011  {c |}{col 46}{res}{space 2}-.0695371{col 58}{space 2} .0701298{col 69}{space 1}   -0.99{col 78}{space 3}0.321{col 86}{space 4}-.2069906{col 99}{space 3} .0679165
{txt}{space 39}2015  {c |}{col 46}{res}{space 2} -.255369{col 58}{space 2} .0723478{col 69}{space 1}   -3.53{col 78}{space 3}0.000{col 86}{space 4}-.3971699{col 99}{space 3}-.1135681
{txt}{space 39}2016  {c |}{col 46}{res}{space 2}-.1968013{col 58}{space 2} .0729995{col 69}{space 1}   -2.70{col 78}{space 3}0.007{col 86}{space 4}-.3398794{col 99}{space 3}-.0537232
{txt}{space 39}2019  {c |}{col 46}{res}{space 2}-.0967834{col 58}{space 2} .0693792{col 69}{space 1}   -1.39{col 78}{space 3}0.163{col 86}{space 4}-.2327658{col 99}{space 3}  .039199
{txt}{space 44} {c |}
{space 6}year_original#c.expenditure_gdp_term_2 {c |}
{space 39}1993  {c |}{col 46}{res}{space 2} .0965438{col 58}{space 2} .0422855{col 69}{space 1}    2.28{col 78}{space 3}0.022{col 86}{space 4} .0136648{col 99}{space 3} .1794229
{txt}{space 39}1996  {c |}{col 46}{res}{space 2} .0720114{col 58}{space 2} .0499177{col 69}{space 1}    1.44{col 78}{space 3}0.149{col 86}{space 4}-.0258267{col 99}{space 3} .1698495
{txt}{space 39}2000  {c |}{col 46}{res}{space 2} .2194161{col 58}{space 2} .0319643{col 69}{space 1}    6.86{col 78}{space 3}0.000{col 86}{space 4} .1567665{col 99}{space 3} .2820657
{txt}{space 39}2004  {c |}{col 46}{res}{space 2} .1838876{col 58}{space 2} .0319061{col 69}{space 1}    5.76{col 78}{space 3}0.000{col 86}{space 4} .1213519{col 99}{space 3} .2464232
{txt}{space 39}2008  {c |}{col 46}{res}{space 2} .0842164{col 58}{space 2} .0320986{col 69}{space 1}    2.62{col 78}{space 3}0.009{col 86}{space 4} .0213034{col 99}{space 3} .1471294
{txt}{space 39}2011  {c |}{col 46}{res}{space 2} -.005863{col 58}{space 2} .0702245{col 69}{space 1}   -0.08{col 78}{space 3}0.933{col 86}{space 4}-.1435021{col 99}{space 3} .1317761
{txt}{space 39}2015  {c |}{col 46}{res}{space 2} .0804436{col 58}{space 2} .0611162{col 69}{space 1}    1.32{col 78}{space 3}0.188{col 86}{space 4}-.0393435{col 99}{space 3} .2002307
{txt}{space 39}2016  {c |}{col 46}{res}{space 2}-.0252564{col 58}{space 2} .2097619{col 69}{space 1}   -0.12{col 78}{space 3}0.904{col 86}{space 4}-.4363873{col 99}{space 3} .3858745
{txt}{space 39}2019  {c |}{col 46}{res}{space 2}-.3610555{col 58}{space 2}  .190784{col 69}{space 1}   -1.89{col 78}{space 3}0.058{col 86}{space 4}  -.73499{col 99}{space 3} .0128789
{txt}{space 44} {c |}
{space 36}prov_num {c |}
{space 38}alava  {c |}{col 46}{res}{space 2}-.1117685{col 58}{space 2} .0404074{col 69}{space 1}   -2.77{col 78}{space 3}0.006{col 86}{space 4}-.1909666{col 99}{space 3}-.0325704
{txt}{space 35}albacete  {c |}{col 46}{res}{space 2} .0416368{col 58}{space 2} .0323039{col 69}{space 1}    1.29{col 78}{space 3}0.197{col 86}{space 4}-.0216785{col 99}{space 3} .1049521
{txt}{space 35}alicante  {c |}{col 46}{res}{space 2} .0753434{col 58}{space 2} .0270884{col 69}{space 1}    2.78{col 78}{space 3}0.005{col 86}{space 4} .0222505{col 99}{space 3} .1284363
{txt}{space 36}almeria  {c |}{col 46}{res}{space 2} .0765738{col 58}{space 2} .0293507{col 69}{space 1}    2.61{col 78}{space 3}0.009{col 86}{space 4} .0190469{col 99}{space 3} .1341008
{txt}{space 35}asturias  {c |}{col 46}{res}{space 2} .0130091{col 58}{space 2} .0323137{col 69}{space 1}    0.40{col 78}{space 3}0.687{col 86}{space 4}-.0503254{col 99}{space 3} .0763436
{txt}{space 38}avila  {c |}{col 46}{res}{space 2}-.0017051{col 58}{space 2} .0445433{col 69}{space 1}   -0.04{col 78}{space 3}0.969{col 86}{space 4}-.0890094{col 99}{space 3} .0855992
{txt}{space 36}badajoz  {c |}{col 46}{res}{space 2} .0846682{col 58}{space 2} .0306596{col 69}{space 1}    2.76{col 78}{space 3}0.006{col 86}{space 4} .0245758{col 99}{space 3} .1447607
{txt}{space 34}barcelona  {c |}{col 46}{res}{space 2}-.0880415{col 58}{space 2}  .030387{col 69}{space 1}   -2.90{col 78}{space 3}0.004{col 86}{space 4}-.1475996{col 99}{space 3}-.0284834
{txt}{space 37}burgos  {c |}{col 46}{res}{space 2} .0646503{col 58}{space 2} .0402979{col 69}{space 1}    1.60{col 78}{space 3}0.109{col 86}{space 4}-.0143332{col 99}{space 3} .1436337
{txt}{space 36}caceres  {c |}{col 46}{res}{space 2} .1120936{col 58}{space 2} .0348284{col 69}{space 1}    3.22{col 78}{space 3}0.001{col 86}{space 4} .0438303{col 99}{space 3} .1803568
{txt}{space 38}cadiz  {c |}{col 46}{res}{space 2}-.0138246{col 58}{space 2} .0310262{col 69}{space 1}   -0.45{col 78}{space 3}0.656{col 86}{space 4}-.0746356{col 99}{space 3} .0469863
{txt}{space 34}cantabria  {c |}{col 46}{res}{space 2} .0157773{col 58}{space 2} .0291828{col 69}{space 1}    0.54{col 78}{space 3}0.589{col 86}{space 4}-.0414206{col 99}{space 3} .0729753
{txt}{space 34}castellon  {c |}{col 46}{res}{space 2} .0118632{col 58}{space 2} .0293228{col 69}{space 1}    0.40{col 78}{space 3}0.686{col 86}{space 4}-.0456092{col 99}{space 3} .0693357
{txt}{space 32}ciudad real  {c |}{col 46}{res}{space 2}  .043513{col 58}{space 2} .0351668{col 69}{space 1}    1.24{col 78}{space 3}0.216{col 86}{space 4}-.0254136{col 99}{space 3} .1124396
{txt}{space 36}cordoba  {c |}{col 46}{res}{space 2} .0123301{col 58}{space 2} .0283108{col 69}{space 1}    0.44{col 78}{space 3}0.663{col 86}{space 4}-.0431587{col 99}{space 3} .0678189
{txt}{space 37}cuenca  {c |}{col 46}{res}{space 2}  .050377{col 58}{space 2} .0432989{col 69}{space 1}    1.16{col 78}{space 3}0.245{col 86}{space 4}-.0344883{col 99}{space 3} .1352424
{txt}{space 35}gipuzkoa  {c |}{col 46}{res}{space 2}-.1450374{col 58}{space 2} .0342812{col 69}{space 1}   -4.23{col 78}{space 3}0.000{col 86}{space 4} -.212228{col 99}{space 3}-.0778467
{txt}{space 37}girona  {c |}{col 46}{res}{space 2}-.1333912{col 58}{space 2} .0396237{col 69}{space 1}   -3.37{col 78}{space 3}0.001{col 86}{space 4}-.2110532{col 99}{space 3}-.0557291
{txt}{space 36}granada  {c |}{col 46}{res}{space 2} .0555671{col 58}{space 2} .0289561{col 69}{space 1}    1.92{col 78}{space 3}0.055{col 86}{space 4}-.0011865{col 99}{space 3} .1123206
{txt}{space 32}guadalajara  {c |}{col 46}{res}{space 2} .0301224{col 58}{space 2} .0327127{col 69}{space 1}    0.92{col 78}{space 3}0.357{col 86}{space 4} -.033994{col 99}{space 3} .0942388
{txt}{space 37}huelva  {c |}{col 46}{res}{space 2} .0019343{col 58}{space 2} .0378517{col 69}{space 1}    0.05{col 78}{space 3}0.959{col 86}{space 4}-.0722546{col 99}{space 3} .0761232
{txt}{space 37}huesca  {c |}{col 46}{res}{space 2}-.0216787{col 58}{space 2} .0390184{col 69}{space 1}   -0.56{col 78}{space 3}0.578{col 86}{space 4}-.0981543{col 99}{space 3} .0547969
{txt}{space 29}islas baleares  {c |}{col 46}{res}{space 2}-.0578515{col 58}{space 2} .0384828{col 69}{space 1}   -1.50{col 78}{space 3}0.133{col 86}{space 4}-.1332773{col 99}{space 3} .0175743
{txt}{space 39}jaen  {c |}{col 46}{res}{space 2} .0402597{col 58}{space 2} .0311727{col 69}{space 1}    1.29{col 78}{space 3}0.197{col 86}{space 4}-.0208385{col 99}{space 3} .1013579
{txt}{space 35}la rioja  {c |}{col 46}{res}{space 2} .0500322{col 58}{space 2} .0322326{col 69}{space 1}    1.55{col 78}{space 3}0.121{col 86}{space 4}-.0131433{col 99}{space 3} .1132076
{txt}{space 33}las palmas  {c |}{col 46}{res}{space 2}-.0261216{col 58}{space 2} .0352125{col 69}{space 1}   -0.74{col 78}{space 3}0.458{col 86}{space 4}-.0951378{col 99}{space 3} .0428945
{txt}{space 39}leon  {c |}{col 46}{res}{space 2} .0565375{col 58}{space 2} .0352728{col 69}{space 1}    1.60{col 78}{space 3}0.109{col 86}{space 4}-.0125967{col 99}{space 3} .1256717
{txt}{space 37}lleida  {c |}{col 46}{res}{space 2}-.0534994{col 58}{space 2} .0351328{col 69}{space 1}   -1.52{col 78}{space 3}0.128{col 86}{space 4}-.1223592{col 99}{space 3} .0153605
{txt}{space 39}lugo  {c |}{col 46}{res}{space 2} .0240359{col 58}{space 2}  .032678{col 69}{space 1}    0.74{col 78}{space 3}0.462{col 86}{space 4}-.0400126{col 99}{space 3} .0880845
{txt}{space 37}madrid  {c |}{col 46}{res}{space 2} .0082609{col 58}{space 2} .0266883{col 69}{space 1}    0.31{col 78}{space 3}0.757{col 86}{space 4}-.0440479{col 99}{space 3} .0605697
{txt}{space 37}malaga  {c |}{col 46}{res}{space 2} .0626811{col 58}{space 2} .0266833{col 69}{space 1}    2.35{col 78}{space 3}0.019{col 86}{space 4} .0103821{col 99}{space 3} .1149801
{txt}{space 37}murcia  {c |}{col 46}{res}{space 2}-.0139868{col 58}{space 2} .0262667{col 69}{space 1}   -0.53{col 78}{space 3}0.594{col 86}{space 4}-.0654691{col 99}{space 3} .0374956
{txt}{space 36}navarra  {c |}{col 46}{res}{space 2}-.0486094{col 58}{space 2} .0362033{col 69}{space 1}   -1.34{col 78}{space 3}0.179{col 86}{space 4}-.1195673{col 99}{space 3} .0223486
{txt}{space 36}ourense  {c |}{col 46}{res}{space 2}-.0094315{col 58}{space 2} .0341973{col 69}{space 1}   -0.28{col 78}{space 3}0.783{col 86}{space 4}-.0764578{col 99}{space 3} .0575949
{txt}{space 35}palencia  {c |}{col 46}{res}{space 2} .0093174{col 58}{space 2}  .042454{col 69}{space 1}    0.22{col 78}{space 3}0.826{col 86}{space 4} -.073892{col 99}{space 3} .0925267
{txt}{space 33}pontevedra  {c |}{col 46}{res}{space 2}-.0271864{col 58}{space 2} .0281559{col 69}{space 1}   -0.97{col 78}{space 3}0.334{col 86}{space 4}-.0823715{col 99}{space 3} .0279988
{txt}{space 34}salamanca  {c |}{col 46}{res}{space 2} .0506776{col 58}{space 2} .0347035{col 69}{space 1}    1.46{col 78}{space 3}0.144{col 86}{space 4}-.0173409{col 99}{space 3} .1186961
{txt}{space 21}santa cruz de tenerife  {c |}{col 46}{res}{space 2}  .045591{col 58}{space 2} .0274726{col 69}{space 1}    1.66{col 78}{space 3}0.097{col 86}{space 4} -.008255{col 99}{space 3}  .099437
{txt}{space 36}segovia  {c |}{col 46}{res}{space 2} .0467304{col 58}{space 2} .0572388{col 69}{space 1}    0.82{col 78}{space 3}0.414{col 86}{space 4} -.065457{col 99}{space 3} .1589177
{txt}{space 36}sevilla  {c |}{col 46}{res}{space 2} -.020836{col 58}{space 2} .0302097{col 69}{space 1}   -0.69{col 78}{space 3}0.490{col 86}{space 4}-.0800467{col 99}{space 3} .0383747
{txt}{space 38}soria  {c |}{col 46}{res}{space 2} .2047862{col 58}{space 2} .1019723{col 69}{space 1}    2.01{col 78}{space 3}0.045{col 86}{space 4} .0049217{col 99}{space 3} .4046507
{txt}{space 34}tarragona  {c |}{col 46}{res}{space 2}-.1327384{col 58}{space 2} .0384939{col 69}{space 1}   -3.45{col 78}{space 3}0.001{col 86}{space 4} -.208186{col 99}{space 3}-.0572909
{txt}{space 37}teruel  {c |}{col 46}{res}{space 2} .0347842{col 58}{space 2} .0380051{col 69}{space 1}    0.92{col 78}{space 3}0.360{col 86}{space 4}-.0397055{col 99}{space 3} .1092738
{txt}{space 37}toledo  {c |}{col 46}{res}{space 2} .0453403{col 58}{space 2} .0309897{col 69}{space 1}    1.46{col 78}{space 3}0.143{col 86}{space 4}-.0153992{col 99}{space 3} .1060798
{txt}{space 35}valencia  {c |}{col 46}{res}{space 2} .0188404{col 58}{space 2} .0249628{col 69}{space 1}    0.75{col 78}{space 3}0.450{col 86}{space 4}-.0300865{col 99}{space 3} .0677672
{txt}{space 33}valladolid  {c |}{col 46}{res}{space 2} .0005073{col 58}{space 2} .0293005{col 69}{space 1}    0.02{col 78}{space 3}0.986{col 86}{space 4}-.0569213{col 99}{space 3} .0579359
{txt}{space 36}vizcaya  {c |}{col 46}{res}{space 2}-.1164378{col 58}{space 2} .0261517{col 69}{space 1}   -4.45{col 78}{space 3}0.000{col 86}{space 4}-.1676949{col 99}{space 3}-.0651807
{txt}{space 37}zamora  {c |}{col 46}{res}{space 2} .1069633{col 58}{space 2} .0451799{col 69}{space 1}    2.37{col 78}{space 3}0.018{col 86}{space 4} .0184112{col 99}{space 3} .1955153
{txt}{space 35}zaragoza  {c |}{col 46}{res}{space 2}-.0140178{col 58}{space 2} .0291538{col 69}{space 1}   -0.48{col 78}{space 3}0.631{col 86}{space 4}-.0711589{col 99}{space 3} .0431232
{txt}{space 44} {c |}
{space 35}preperiod {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 27}municipality_size {c |}
{space 7}Between 2,001 and 10,000 inhabitants  {c |}{col 46}{res}{space 2} .0006519{col 58}{space 2} .0118279{col 69}{space 1}    0.06{col 78}{space 3}0.956{col 86}{space 4}-.0225305{col 99}{space 3} .0238344
{txt}{space 6}Between 10,001 and 50,000 inhabitants  {c |}{col 46}{res}{space 2}-.0086274{col 58}{space 2} .0114801{col 69}{space 1}   -0.75{col 78}{space 3}0.452{col 86}{space 4}-.0311282{col 99}{space 3} .0138735
{txt}{space 5}Between 50,001 and 100,000 inhabitants  {c |}{col 46}{res}{space 2}-.0105471{col 58}{space 2} .0129604{col 69}{space 1}   -0.81{col 78}{space 3}0.416{col 86}{space 4}-.0359494{col 99}{space 3} .0148551
{txt}{space 4}Between 100,001 and 400,000 inhabitants  {c |}{col 46}{res}{space 2}-.0105019{col 58}{space 2} .0118634{col 69}{space 1}   -0.89{col 78}{space 3}0.376{col 86}{space 4}-.0337541{col 99}{space 3} .0127502
{txt}{space 2}Between 400,001 and 1,000,000 inhabitants  {c |}{col 46}{res}{space 2}-.0247986{col 58}{space 2} .0176551{col 69}{space 1}   -1.40{col 78}{space 3}0.160{col 86}{space 4}-.0594023{col 99}{space 3} .0098052
{txt}{space 12}More than 1,000,001 inhabitants  {c |}{col 46}{res}{space 2}-.0077899{col 58}{space 2} .0186547{col 69}{space 1}   -0.42{col 78}{space 3}0.676{col 86}{space 4} -.044353{col 99}{space 3} .0287731
{txt}{space 44} {c |}
{space 38}female {c |}{col 46}{res}{space 2}-.0154334{col 58}{space 2} .0035905{col 69}{space 1}   -4.30{col 78}{space 3}0.000{col 86}{space 4}-.0224707{col 99}{space 3}-.0083961
{txt}{space 41}age {c |}{col 46}{res}{space 2} .0016661{col 58}{space 2} .0002631{col 69}{space 1}    6.33{col 78}{space 3}0.000{col 86}{space 4} .0011505{col 99}{space 3} .0021818
{txt}{space 44} {c |}
{space 35}education {c |}
{space 34}Secondary  {c |}{col 46}{res}{space 2} -.021116{col 58}{space 2} .0071718{col 69}{space 1}   -2.94{col 78}{space 3}0.003{col 86}{space 4}-.0351725{col 99}{space 3}-.0070594
{txt}{space 27}Higher Education  {c |}{col 46}{res}{space 2}-.0282566{col 58}{space 2} .0081089{col 69}{space 1}   -3.48{col 78}{space 3}0.000{col 86}{space 4}-.0441499{col 99}{space 3}-.0123632
{txt}{space 44} {c |}
{space 38}status {c |}
{space 33}Unemployed  {c |}{col 46}{res}{space 2} .0130747{col 58}{space 2} .0084976{col 69}{space 1}    1.54{col 78}{space 3}0.124{col 86}{space 4}-.0035806{col 99}{space 3}   .02973
{txt}{space 36}Retired  {c |}{col 46}{res}{space 2} .0435693{col 58}{space 2} .0101897{col 69}{space 1}    4.28{col 78}{space 3}0.000{col 86}{space 4} .0235977{col 99}{space 3} .0635409
{txt}{space 36}Student  {c |}{col 46}{res}{space 2} .0032634{col 58}{space 2}  .014892{col 69}{space 1}    0.22{col 78}{space 3}0.827{col 86}{space 4}-.0259248{col 99}{space 3} .0324516
{txt}{space 32}Housekeeper  {c |}{col 46}{res}{space 2} .0101493{col 58}{space 2} .0132744{col 69}{space 1}    0.76{col 78}{space 3}0.445{col 86}{space 4}-.0158684{col 99}{space 3} .0361671
{txt}{space 44} {c |}
{space 17}preperiod#municipality_size {c |}
{space 14}1#Less than 2,000 inhabitants  {c |}{col 46}{res}{space 2} .0306188{col 58}{space 2} .0217336{col 69}{space 1}    1.41{col 78}{space 3}0.159{col 86}{space 4}-.0119789{col 99}{space 3} .0732164
{txt}{space 5}1#Between 2,001 and 10,000 inhabitants  {c |}{col 46}{res}{space 2} .0196246{col 58}{space 2} .0202437{col 69}{space 1}    0.97{col 78}{space 3}0.332{col 86}{space 4}-.0200529{col 99}{space 3}  .059302
{txt}{space 4}1#Between 10,001 and 50,000 inhabitants  {c |}{col 46}{res}{space 2} .0178024{col 58}{space 2} .0194806{col 69}{space 1}    0.91{col 78}{space 3}0.361{col 86}{space 4}-.0203793{col 99}{space 3} .0559841
{txt}{space 3}1#Between 50,001 and 100,000 inhabitants  {c |}{col 46}{res}{space 2} .0163299{col 58}{space 2} .0204295{col 69}{space 1}    0.80{col 78}{space 3}0.424{col 86}{space 4}-.0237117{col 99}{space 3} .0563716
{txt}{space 2}1#Between 100,001 and 400,000 inhabitants  {c |}{col 46}{res}{space 2} .0274424{col 58}{space 2} .0191973{col 69}{space 1}    1.43{col 78}{space 3}0.153{col 86}{space 4}-.0101841{col 99}{space 3}  .065069
{txt}1#Between 400,001 and 1,000,000 inhabitants  {c |}{col 46}{res}{space 2} .0367252{col 58}{space 2} .0256078{col 69}{space 1}    1.43{col 78}{space 3}0.152{col 86}{space 4}-.0134658{col 99}{space 3} .0869161
{txt}{space 10}1#More than 1,000,001 inhabitants  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 28}preperiod#female {c |}
{space 40}0 1  {c |}{col 46}{res}{space 2} .0061537{col 58}{space 2} .0069201{col 69}{space 1}    0.89{col 78}{space 3}0.374{col 86}{space 4}-.0074096{col 99}{space 3}  .019717
{txt}{space 40}1 0  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 40}1 1  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 29}preperiod#c.age {c |}
{space 42}1  {c |}{col 46}{res}{space 2}-.0004505{col 58}{space 2}  .000299{col 69}{space 1}   -1.51{col 78}{space 3}0.132{col 86}{space 4}-.0010366{col 99}{space 3} .0001356
{txt}{space 44} {c |}
{space 25}preperiod#education {c |}
{space 19}1#Primary School or less  {c |}{col 46}{res}{space 2}-.0406236{col 58}{space 2} .0095682{col 69}{space 1}   -4.25{col 78}{space 3}0.000{col 86}{space 4}-.0593773{col 99}{space 3}  -.02187
{txt}{space 32}1#Secondary  {c |}{col 46}{res}{space 2}-.0124151{col 58}{space 2} .0094919{col 69}{space 1}   -1.31{col 78}{space 3}0.191{col 86}{space 4}-.0310191{col 99}{space 3} .0061889
{txt}{space 25}1#Higher Education  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 28}preperiod#status {c |}
{space 33}1#Employed  {c |}{col 46}{res}{space 2} .0040792{col 58}{space 2}  .014386{col 69}{space 1}    0.28{col 78}{space 3}0.777{col 86}{space 4}-.0241172{col 99}{space 3} .0322755
{txt}{space 31}1#Unemployed  {c |}{col 46}{res}{space 2}-.0311056{col 58}{space 2} .0160174{col 69}{space 1}   -1.94{col 78}{space 3}0.052{col 86}{space 4}-.0624996{col 99}{space 3} .0002884
{txt}{space 34}1#Retired  {c |}{col 46}{res}{space 2}-.0245276{col 58}{space 2} .0143512{col 69}{space 1}   -1.71{col 78}{space 3}0.087{col 86}{space 4}-.0526557{col 99}{space 3} .0036005
{txt}{space 34}1#Student  {c |}{col 46}{res}{space 2}-.0177798{col 58}{space 2} .0220062{col 69}{space 1}   -0.81{col 78}{space 3}0.419{col 86}{space 4}-.0609117{col 99}{space 3} .0253521
{txt}{space 30}1#Housekeeper  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 26}prov_num#preperiod {c |}
{space 33}a coruna#1  {c |}{col 46}{res}{space 2} .0107922{col 58}{space 2} .0336215{col 69}{space 1}    0.32{col 78}{space 3}0.748{col 86}{space 4}-.0551055{col 99}{space 3} .0766899
{txt}{space 36}alava#1  {c |}{col 46}{res}{space 2} .0070349{col 58}{space 2} .0443996{col 69}{space 1}    0.16{col 78}{space 3}0.874{col 86}{space 4}-.0799878{col 99}{space 3} .0940576
{txt}{space 33}albacete#1  {c |}{col 46}{res}{space 2}-.0154492{col 58}{space 2} .0391527{col 69}{space 1}   -0.39{col 78}{space 3}0.693{col 86}{space 4}-.0921879{col 99}{space 3} .0612896
{txt}{space 33}alicante#1  {c |}{col 46}{res}{space 2} .0279646{col 58}{space 2} .0343541{col 69}{space 1}    0.81{col 78}{space 3}0.416{col 86}{space 4} -.039369{col 99}{space 3} .0952983
{txt}{space 34}almeria#1  {c |}{col 46}{res}{space 2}-.0434978{col 58}{space 2}  .036277{col 69}{space 1}   -1.20{col 78}{space 3}0.231{col 86}{space 4}-.1146002{col 99}{space 3} .0276046
{txt}{space 33}asturias#1  {c |}{col 46}{res}{space 2}-.0270089{col 58}{space 2} .0392965{col 69}{space 1}   -0.69{col 78}{space 3}0.492{col 86}{space 4}-.1040297{col 99}{space 3} .0500118
{txt}{space 36}avila#1  {c |}{col 46}{res}{space 2}   .07103{col 58}{space 2} .0515391{col 69}{space 1}    1.38{col 78}{space 3}0.168{col 86}{space 4}-.0299861{col 99}{space 3} .1720461
{txt}{space 34}badajoz#1  {c |}{col 46}{res}{space 2} .0390061{col 58}{space 2} .0368028{col 69}{space 1}    1.06{col 78}{space 3}0.289{col 86}{space 4} -.033127{col 99}{space 3} .1111391
{txt}{space 32}barcelona#1  {c |}{col 46}{res}{space 2} .0365535{col 58}{space 2} .0341071{col 69}{space 1}    1.07{col 78}{space 3}0.284{col 86}{space 4}-.0302961{col 99}{space 3}  .103403
{txt}{space 35}burgos#1  {c |}{col 46}{res}{space 2}-.0414474{col 58}{space 2} .0470634{col 69}{space 1}   -0.88{col 78}{space 3}0.378{col 86}{space 4}-.1336911{col 99}{space 3} .0507964
{txt}{space 34}caceres#1  {c |}{col 46}{res}{space 2}-.0688281{col 58}{space 2} .0413454{col 69}{space 1}   -1.66{col 78}{space 3}0.096{col 86}{space 4}-.1498646{col 99}{space 3} .0122084
{txt}{space 36}cadiz#1  {c |}{col 46}{res}{space 2} .0896529{col 58}{space 2} .0373098{col 69}{space 1}    2.40{col 78}{space 3}0.016{col 86}{space 4} .0165262{col 99}{space 3} .1627797
{txt}{space 32}cantabria#1  {c |}{col 46}{res}{space 2} .0694072{col 58}{space 2} .0362581{col 69}{space 1}    1.91{col 78}{space 3}0.056{col 86}{space 4}-.0016583{col 99}{space 3} .1404727
{txt}{space 32}castellon#1  {c |}{col 46}{res}{space 2} .0769686{col 58}{space 2}  .035675{col 69}{space 1}    2.16{col 78}{space 3}0.031{col 86}{space 4} .0070461{col 99}{space 3} .1468911
{txt}{space 30}ciudad real#1  {c |}{col 46}{res}{space 2}-.0094231{col 58}{space 2} .0419612{col 69}{space 1}   -0.22{col 78}{space 3}0.822{col 86}{space 4}-.0916666{col 99}{space 3} .0728203
{txt}{space 34}cordoba#1  {c |}{col 46}{res}{space 2} -.029863{col 58}{space 2} .0348204{col 69}{space 1}   -0.86{col 78}{space 3}0.391{col 86}{space 4}-.0981106{col 99}{space 3} .0383846
{txt}{space 35}cuenca#1  {c |}{col 46}{res}{space 2}-.0334826{col 58}{space 2} .0502589{col 69}{space 1}   -0.67{col 78}{space 3}0.505{col 86}{space 4}-.1319895{col 99}{space 3} .0650242
{txt}{space 33}gipuzkoa#1  {c |}{col 46}{res}{space 2}-.0412347{col 58}{space 2} .0386454{col 69}{space 1}   -1.07{col 78}{space 3}0.286{col 86}{space 4}-.1169793{col 99}{space 3} .0345099
{txt}{space 35}girona#1  {c |}{col 46}{res}{space 2} .0590406{col 58}{space 2} .0434309{col 69}{space 1}    1.36{col 78}{space 3}0.174{col 86}{space 4}-.0260834{col 99}{space 3} .1441647
{txt}{space 34}granada#1  {c |}{col 46}{res}{space 2} -.049728{col 58}{space 2} .0360395{col 69}{space 1}   -1.38{col 78}{space 3}0.168{col 86}{space 4}-.1203651{col 99}{space 3} .0209091
{txt}{space 30}guadalajara#1  {c |}{col 46}{res}{space 2} .0306774{col 58}{space 2} .0392546{col 69}{space 1}    0.78{col 78}{space 3}0.435{col 86}{space 4}-.0462612{col 99}{space 3}  .107616
{txt}{space 35}huelva#1  {c |}{col 46}{res}{space 2} .0607768{col 58}{space 2} .0436162{col 69}{space 1}    1.39{col 78}{space 3}0.163{col 86}{space 4}-.0247104{col 99}{space 3} .1462639
{txt}{space 35}huesca#1  {c |}{col 46}{res}{space 2} .0146208{col 58}{space 2}  .045856{col 69}{space 1}    0.32{col 78}{space 3}0.750{col 86}{space 4}-.0752563{col 99}{space 3}  .104498
{txt}{space 27}islas baleares#1  {c |}{col 46}{res}{space 2} .1548068{col 58}{space 2} .0416962{col 69}{space 1}    3.71{col 78}{space 3}0.000{col 86}{space 4} .0730827{col 99}{space 3} .2365309
{txt}{space 37}jaen#1  {c |}{col 46}{res}{space 2}-.0155266{col 58}{space 2} .0380286{col 69}{space 1}   -0.41{col 78}{space 3}0.683{col 86}{space 4}-.0900623{col 99}{space 3} .0590091
{txt}{space 33}la rioja#1  {c |}{col 46}{res}{space 2}-.0527617{col 58}{space 2} .0392366{col 69}{space 1}   -1.34{col 78}{space 3}0.179{col 86}{space 4}-.1296651{col 99}{space 3} .0241417
{txt}{space 31}las palmas#1  {c |}{col 46}{res}{space 2} .1696187{col 58}{space 2} .0401894{col 69}{space 1}    4.22{col 78}{space 3}0.000{col 86}{space 4} .0908478{col 99}{space 3} .2483895
{txt}{space 37}leon#1  {c |}{col 46}{res}{space 2}-.0652505{col 58}{space 2} .0421087{col 69}{space 1}   -1.55{col 78}{space 3}0.121{col 86}{space 4} -.147783{col 99}{space 3} .0172821
{txt}{space 35}lleida#1  {c |}{col 46}{res}{space 2}-.1183878{col 58}{space 2} .0430641{col 69}{space 1}   -2.75{col 78}{space 3}0.006{col 86}{space 4}-.2027929{col 99}{space 3}-.0339828
{txt}{space 37}lugo#1  {c |}{col 46}{res}{space 2} .0291585{col 58}{space 2} .0395601{col 69}{space 1}    0.74{col 78}{space 3}0.461{col 86}{space 4}-.0483788{col 99}{space 3} .1066958
{txt}{space 35}madrid#1  {c |}{col 46}{res}{space 2} .0089208{col 58}{space 2} .0316851{col 69}{space 1}    0.28{col 78}{space 3}0.778{col 86}{space 4}-.0531817{col 99}{space 3} .0710233
{txt}{space 35}malaga#1  {c |}{col 46}{res}{space 2} .0049468{col 58}{space 2} .0302895{col 69}{space 1}    0.16{col 78}{space 3}0.870{col 86}{space 4}-.0544202{col 99}{space 3} .0643138
{txt}{space 35}murcia#1  {c |}{col 46}{res}{space 2} .0762279{col 58}{space 2} .0311897{col 69}{space 1}    2.44{col 78}{space 3}0.015{col 86}{space 4} .0150965{col 99}{space 3} .1373594
{txt}{space 34}navarra#1  {c |}{col 46}{res}{space 2} .0195231{col 58}{space 2} .0409406{col 69}{space 1}    0.48{col 78}{space 3}0.633{col 86}{space 4}-.0607201{col 99}{space 3} .0997662
{txt}{space 34}ourense#1  {c |}{col 46}{res}{space 2} .0955794{col 58}{space 2} .0397051{col 69}{space 1}    2.41{col 78}{space 3}0.016{col 86}{space 4} .0177578{col 99}{space 3} .1734009
{txt}{space 33}palencia#1  {c |}{col 46}{res}{space 2}-.0071734{col 58}{space 2}  .049512{col 69}{space 1}   -0.14{col 78}{space 3}0.885{col 86}{space 4}-.1042163{col 99}{space 3} .0898695
{txt}{space 31}pontevedra#1  {c |}{col 46}{res}{space 2} .0451766{col 58}{space 2} .0341528{col 69}{space 1}    1.32{col 78}{space 3}0.186{col 86}{space 4}-.0217624{col 99}{space 3} .1121156
{txt}{space 32}salamanca#1  {c |}{col 46}{res}{space 2} .1079392{col 58}{space 2} .0416859{col 69}{space 1}    2.59{col 78}{space 3}0.010{col 86}{space 4} .0262353{col 99}{space 3}  .189643
{txt}{space 19}santa cruz de tenerife#1  {c |}{col 46}{res}{space 2}-.0153459{col 58}{space 2} .0339078{col 69}{space 1}   -0.45{col 78}{space 3}0.651{col 86}{space 4}-.0818048{col 99}{space 3}  .051113
{txt}{space 34}segovia#1  {c |}{col 46}{res}{space 2}-.0727515{col 58}{space 2} .0640851{col 69}{space 1}   -1.14{col 78}{space 3}0.256{col 86}{space 4}-.1983576{col 99}{space 3} .0528546
{txt}{space 34}sevilla#1  {c |}{col 46}{res}{space 2} .0546213{col 58}{space 2} .0329929{col 69}{space 1}    1.66{col 78}{space 3}0.098{col 86}{space 4}-.0100445{col 99}{space 3}  .119287
{txt}{space 36}soria#1  {c |}{col 46}{res}{space 2}-.1922438{col 58}{space 2} .1080724{col 69}{space 1}   -1.78{col 78}{space 3}0.075{col 86}{space 4}-.4040643{col 99}{space 3} .0195768
{txt}{space 32}tarragona#1  {c |}{col 46}{res}{space 2} .1485459{col 58}{space 2} .0425725{col 69}{space 1}    3.49{col 78}{space 3}0.000{col 86}{space 4} .0651043{col 99}{space 3} .2319876
{txt}{space 35}teruel#1  {c |}{col 46}{res}{space 2}-.0183492{col 58}{space 2} .0444813{col 69}{space 1}   -0.41{col 78}{space 3}0.680{col 86}{space 4} -.105532{col 99}{space 3} .0688335
{txt}{space 35}toledo#1  {c |}{col 46}{res}{space 2} .0061033{col 58}{space 2}  .037719{col 69}{space 1}    0.16{col 78}{space 3}0.871{col 86}{space 4}-.0678255{col 99}{space 3} .0800321
{txt}{space 33}valencia#1  {c |}{col 46}{res}{space 2}-.0094366{col 58}{space 2} .0292566{col 69}{space 1}   -0.32{col 78}{space 3}0.747{col 86}{space 4}-.0667791{col 99}{space 3}  .047906
{txt}{space 31}valladolid#1  {c |}{col 46}{res}{space 2} .0692913{col 58}{space 2} .0361164{col 69}{space 1}    1.92{col 78}{space 3}0.055{col 86}{space 4}-.0014964{col 99}{space 3}  .140079
{txt}{space 34}vizcaya#1  {c |}{col 46}{res}{space 2}-.1004349{col 58}{space 2} .0322311{col 69}{space 1}   -3.12{col 78}{space 3}0.002{col 86}{space 4}-.1636075{col 99}{space 3}-.0372623
{txt}{space 35}zamora#1  {c |}{col 46}{res}{space 2} .0014572{col 58}{space 2} .0516485{col 69}{space 1}    0.03{col 78}{space 3}0.977{col 86}{space 4}-.0997733{col 99}{space 3} .1026876
{txt}{space 33}zaragoza#1  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} .3256803{col 58}{space 2} .0518689{col 69}{space 1}    6.28{col 78}{space 3}0.000{col 86}{space 4}  .224018{col 99}{space 3} .4273427
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estadd local SurveyFE "$\times$"

{txt}added macro:
           e(SurveyFE) : "{res:$\times$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\checkmark$"

{txt}added macro:
           e(PeriodFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodCtrols "$\checkmark$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\checkmark$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Pooled"

{txt}added macro:
             e(Sample) : "{res:Pooled}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Month pre-elect"

{txt}added macro:
            e(Outcome) : "{res:Month pre-elect}"

{com}. 
. boottest top_prizes_gdp_term_2, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_term_2

{txt}{col 28}t(49) = {res}    0.6736
{col 25}{txt}Prob>|t| = {res}    0.6026

95%{txt} confidence set for null hypothesis expression: {res}[−.01805, .04602]
{txt}
{com}. 
. gen pooled_sample=1 if e(sample)==1
{txt}(8,292 missing values generated)

{com}. cou if pooled_sample==1 & pre_sample==. & post_sample==.
  {res}0
{txt}
{com}. cou if pooled_sample==1 & (pre_sample==1 | post_sample==1)
  {res}97,578
{txt}
{com}. 
. drop *_sample
{txt}
{com}. 
. restore /* Going back to version of survey data that doenst have cumulative prize added yet*/
{txt}
{com}. 
. 
. preserve  
{txt}
{com}. 
. *****
. 
. * read electoral data
. use "Data/Our_data/20250531_SpanishLottery_Complete_province.dta", clear 
{txt}
{com}. 
. 
. ****
. 
. rename year year1
{res}{txt}
{com}. 
. keep province year1 top_prizes_gdp_term_2 expenditure_gdp_term_2
{txt}
{com}. duplicates drop /*To drop the second 2019 election since prizes are the same */

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(50 observations deleted)

{com}. 
. 
. tempfile electoral_yearQ
{txt}
{com}. 
. save `electoral_yearQ'
{txt}{p 0 4 2}
file {bf}
/var/folders/54/7cxl8ny95nb4vs26j1q2yq9r0000gn/T//S_08037.000006{rm}
saved
as .dta format
{p_end}

{com}. 
. 
. restore /* Re load survey data */
{txt}
{com}. 
. 
. ** Get period with 3 quarters from year t-1 + first quarter of year t. 
. rename year year_original
{res}{txt}
{com}. split fixed, parse(-) limit(1) gen(year)
{res}variable created as string: 
{txt}{col 1}year1

{com}. destring year1, replace
{txt}year1: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}. 
. ** Period control:
. gen preperiod=1 if year_original<2010
{txt}(448,934 missing values generated)

{com}. replace preperiod=0 if year_original>=2010
{txt}(448,934 real changes made)

{com}. 
. * merge
. merge m:1 year1 province using `electoral_yearQ' 
{res}{txt}{p 0 7 2}
(variable
{bf:year1} was {bf:int}, now {bf:double} to accommodate using data's values)
{p_end}

{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}         744,009
{txt}{col 9}from master{col 30}{res}         743,959{txt}  (_merge==1)
{col 9}from using{col 30}{res}              50{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         385,551{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge==3 
{txt}(744,009 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. 
. * replace with zeroes 
. replace top_prizes_gdp_term_2=0 if month>3
{txt}(175,311 real changes made)

{com}. replace expenditure_gdp_term_2=0 if month>3
{txt}(229,088 real changes made)

{com}. 
. drop if month>=4
{txt}(229,088 observations deleted)

{com}. 
. 
. ** Col 4, TABLE 4. Propensities corrected + Fixed effects corrected, PRE period, Q1: 
. eststo b_pre_Q1: areg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original i.prov_num $individual_characteristics if year_original<2010, absorb(survey)
{txt}{p 0 6 2}note: {bf:1993.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1996.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2000.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2004.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2008.year_original} omitted because of collinearity.{p_end}
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:84,209}
{txt}{col 1}Absorbed variable: {res:survey}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:11}
{txt}{col 53}{lalign 17:F({res:70}, {res:84128})}{col 70} = {res}{ralign 6:45.38}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.0403}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.0394}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.4412}

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                            vote_incumbent{col 44}{c |} Coefficient{col 56}  Std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}top_prizes_gdp_term_2 {c |}{col 44}{res}{space 2} .0036111{col 56}{space 2} .0014057{col 67}{space 1}    2.57{col 76}{space 3}0.010{col 84}{space 4} .0008559{col 97}{space 3} .0063663
{txt}{space 20}expenditure_gdp_term_2 {c |}{col 44}{res}{space 2}-.0283778{col 56}{space 2} .0286462{col 67}{space 1}   -0.99{col 76}{space 3}0.322{col 84}{space 4} -.084524{col 97}{space 3} .0277684
{txt}{space 42} {c |}
{space 29}year_original {c |}
{space 37}1993  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}1996  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2000  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2004  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2008  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 42} {c |}
{space 4}year_original#c.expenditure_gdp_term_2 {c |}
{space 37}1993  {c |}{col 44}{res}{space 2} .0040452{col 56}{space 2} .0306598{col 67}{space 1}    0.13{col 76}{space 3}0.895{col 84}{space 4}-.0560478{col 97}{space 3} .0641382
{txt}{space 37}1996  {c |}{col 44}{res}{space 2} .0020243{col 56}{space 2} .0380954{col 67}{space 1}    0.05{col 76}{space 3}0.958{col 84}{space 4}-.0726425{col 97}{space 3} .0766911
{txt}{space 37}2000  {c |}{col 44}{res}{space 2} .1432806{col 56}{space 2}  .026767{col 67}{space 1}    5.35{col 76}{space 3}0.000{col 84}{space 4} .0908174{col 97}{space 3} .1957438
{txt}{space 37}2004  {c |}{col 44}{res}{space 2} .1114857{col 56}{space 2}   .02674{col 67}{space 1}    4.17{col 76}{space 3}0.000{col 84}{space 4} .0590756{col 97}{space 3} .1638958
{txt}{space 37}2008  {c |}{col 44}{res}{space 2} .0194015{col 56}{space 2} .0270655{col 67}{space 1}    0.72{col 76}{space 3}0.473{col 84}{space 4}-.0336467{col 97}{space 3} .0724496
{txt}{space 42} {c |}
{space 34}prov_num {c |}
{space 36}alava  {c |}{col 44}{res}{space 2}-.1182345{col 56}{space 2} .0160784{col 67}{space 1}   -7.35{col 76}{space 3}0.000{col 84}{space 4}-.1497481{col 97}{space 3} -.086721
{txt}{space 33}albacete  {c |}{col 44}{res}{space 2} .0301635{col 56}{space 2} .0161299{col 67}{space 1}    1.87{col 76}{space 3}0.061{col 84}{space 4} -.001451{col 97}{space 3} .0617779
{txt}{space 33}alicante  {c |}{col 44}{res}{space 2} .1004061{col 56}{space 2} .0139765{col 67}{space 1}    7.18{col 76}{space 3}0.000{col 84}{space 4} .0730123{col 97}{space 3} .1277999
{txt}{space 34}almeria  {c |}{col 44}{res}{space 2} .0413469{col 56}{space 2}  .015575{col 67}{space 1}    2.65{col 76}{space 3}0.008{col 84}{space 4}   .01082{col 97}{space 3} .0718737
{txt}{space 33}asturias  {c |}{col 44}{res}{space 2}-.0123605{col 56}{space 2} .0139399{col 67}{space 1}   -0.89{col 76}{space 3}0.375{col 84}{space 4}-.0396826{col 97}{space 3} .0149616
{txt}{space 36}avila  {c |}{col 44}{res}{space 2} .0695103{col 56}{space 2} .0185636{col 67}{space 1}    3.74{col 76}{space 3}0.000{col 84}{space 4} .0331257{col 97}{space 3} .1058949
{txt}{space 34}badajoz  {c |}{col 44}{res}{space 2} .1002419{col 56}{space 2} .0157993{col 67}{space 1}    6.34{col 76}{space 3}0.000{col 84}{space 4} .0692754{col 97}{space 3} .1312083
{txt}{space 32}barcelona  {c |}{col 44}{res}{space 2}-.0435597{col 56}{space 2}  .011982{col 67}{space 1}   -3.64{col 76}{space 3}0.000{col 84}{space 4}-.0670444{col 97}{space 3}-.0200751
{txt}{space 35}burgos  {c |}{col 44}{res}{space 2} .0228626{col 56}{space 2} .0163098{col 67}{space 1}    1.40{col 76}{space 3}0.161{col 84}{space 4}-.0091044{col 97}{space 3} .0548296
{txt}{space 34}caceres  {c |}{col 44}{res}{space 2} .0581781{col 56}{space 2} .0158614{col 67}{space 1}    3.67{col 76}{space 3}0.000{col 84}{space 4}   .02709{col 97}{space 3} .0892663
{txt}{space 36}cadiz  {c |}{col 44}{res}{space 2} .0573167{col 56}{space 2} .0160688{col 67}{space 1}    3.57{col 76}{space 3}0.000{col 84}{space 4}  .025822{col 97}{space 3} .0888113
{txt}{space 32}cantabria  {c |}{col 44}{res}{space 2} .0807117{col 56}{space 2} .0152142{col 67}{space 1}    5.31{col 76}{space 3}0.000{col 84}{space 4} .0508921{col 97}{space 3} .1105314
{txt}{space 32}castellon  {c |}{col 44}{res}{space 2}  .080617{col 56}{space 2} .0156409{col 67}{space 1}    5.15{col 76}{space 3}0.000{col 84}{space 4}  .049961{col 97}{space 3} .1112731
{txt}{space 30}ciudad real  {c |}{col 44}{res}{space 2}  .053333{col 56}{space 2} .0165926{col 67}{space 1}    3.21{col 76}{space 3}0.001{col 84}{space 4} .0208116{col 97}{space 3} .0858544
{txt}{space 34}cordoba  {c |}{col 44}{res}{space 2}-.0263475{col 56}{space 2} .0145584{col 67}{space 1}   -1.81{col 76}{space 3}0.070{col 84}{space 4}-.0548819{col 97}{space 3} .0021869
{txt}{space 35}cuenca  {c |}{col 44}{res}{space 2} .0446754{col 56}{space 2} .0182409{col 67}{space 1}    2.45{col 76}{space 3}0.014{col 84}{space 4} .0089234{col 97}{space 3} .0804273
{txt}{space 33}gipuzkoa  {c |}{col 44}{res}{space 2}-.2014483{col 56}{space 2} .0143969{col 67}{space 1}  -13.99{col 76}{space 3}0.000{col 84}{space 4}-.2296661{col 97}{space 3}-.1732305
{txt}{space 35}girona  {c |}{col 44}{res}{space 2}-.0909743{col 56}{space 2} .0160571{col 67}{space 1}   -5.67{col 76}{space 3}0.000{col 84}{space 4} -.122446{col 97}{space 3}-.0595025
{txt}{space 34}granada  {c |}{col 44}{res}{space 2} .0094648{col 56}{space 2} .0145239{col 67}{space 1}    0.65{col 76}{space 3}0.515{col 84}{space 4} -.019002{col 97}{space 3} .0379316
{txt}{space 30}guadalajara  {c |}{col 44}{res}{space 2} .0650275{col 56}{space 2} .0178223{col 67}{space 1}    3.65{col 76}{space 3}0.000{col 84}{space 4} .0300959{col 97}{space 3} .0999591
{txt}{space 35}huelva  {c |}{col 44}{res}{space 2} .0382805{col 56}{space 2} .0182815{col 67}{space 1}    2.09{col 76}{space 3}0.036{col 84}{space 4} .0024489{col 97}{space 3}  .074112
{txt}{space 35}huesca  {c |}{col 44}{res}{space 2}-.0047603{col 56}{space 2} .0172164{col 67}{space 1}   -0.28{col 76}{space 3}0.782{col 84}{space 4}-.0385043{col 97}{space 3} .0289837
{txt}{space 27}islas baleares  {c |}{col 44}{res}{space 2}  .078461{col 56}{space 2} .0159803{col 67}{space 1}    4.91{col 76}{space 3}0.000{col 84}{space 4} .0471396{col 97}{space 3} .1097823
{txt}{space 37}jaen  {c |}{col 44}{res}{space 2} .0224908{col 56}{space 2} .0149155{col 67}{space 1}    1.51{col 76}{space 3}0.132{col 84}{space 4}-.0067435{col 97}{space 3}  .051725
{txt}{space 33}la rioja  {c |}{col 44}{res}{space 2}-.0121175{col 56}{space 2}  .016587{col 67}{space 1}   -0.73{col 76}{space 3}0.465{col 84}{space 4} -.044628{col 97}{space 3}  .020393
{txt}{space 31}las palmas  {c |}{col 44}{res}{space 2} .0927404{col 56}{space 2} .0158378{col 67}{space 1}    5.86{col 76}{space 3}0.000{col 84}{space 4} .0616985{col 97}{space 3} .1237823
{txt}{space 37}leon  {c |}{col 44}{res}{space 2}-.0083535{col 56}{space 2} .0156042{col 67}{space 1}   -0.54{col 76}{space 3}0.592{col 84}{space 4}-.0389376{col 97}{space 3} .0222306
{txt}{space 35}lleida  {c |}{col 44}{res}{space 2}-.1285486{col 56}{space 2} .0180435{col 67}{space 1}   -7.12{col 76}{space 3}0.000{col 84}{space 4}-.1639138{col 97}{space 3}-.0931834
{txt}{space 37}lugo  {c |}{col 44}{res}{space 2} .0434383{col 56}{space 2} .0156851{col 67}{space 1}    2.77{col 76}{space 3}0.006{col 84}{space 4} .0126957{col 97}{space 3} .0741809
{txt}{space 35}madrid  {c |}{col 44}{res}{space 2} .0020011{col 56}{space 2} .0127121{col 67}{space 1}    0.16{col 76}{space 3}0.875{col 84}{space 4}-.0229145{col 97}{space 3} .0269166
{txt}{space 35}malaga  {c |}{col 44}{res}{space 2} .0535783{col 56}{space 2} .0143522{col 67}{space 1}    3.73{col 76}{space 3}0.000{col 84}{space 4} .0254482{col 97}{space 3} .0817084
{txt}{space 35}murcia  {c |}{col 44}{res}{space 2} .0449585{col 56}{space 2} .0140055{col 67}{space 1}    3.21{col 76}{space 3}0.001{col 84}{space 4} .0175078{col 97}{space 3} .0724092
{txt}{space 34}navarra  {c |}{col 44}{res}{space 2}-.0601807{col 56}{space 2} .0158143{col 67}{space 1}   -3.81{col 76}{space 3}0.000{col 84}{space 4}-.0911766{col 97}{space 3}-.0291848
{txt}{space 34}ourense  {c |}{col 44}{res}{space 2}  .065532{col 56}{space 2} .0165028{col 67}{space 1}    3.97{col 76}{space 3}0.000{col 84}{space 4} .0331866{col 97}{space 3} .0978775
{txt}{space 33}palencia  {c |}{col 44}{res}{space 2} .0144884{col 56}{space 2} .0185549{col 67}{space 1}    0.78{col 76}{space 3}0.435{col 84}{space 4} -.021879{col 97}{space 3} .0508558
{txt}{space 31}pontevedra  {c |}{col 44}{res}{space 2}-.0070416{col 56}{space 2} .0140352{col 67}{space 1}   -0.50{col 76}{space 3}0.616{col 84}{space 4}-.0345505{col 97}{space 3} .0204673
{txt}{space 32}salamanca  {c |}{col 44}{res}{space 2} .1451537{col 56}{space 2} .0164477{col 67}{space 1}    8.83{col 76}{space 3}0.000{col 84}{space 4} .1129163{col 97}{space 3}  .177391
{txt}{space 19}santa cruz de tenerife  {c |}{col 44}{res}{space 2} .0246422{col 56}{space 2} .0147514{col 67}{space 1}    1.67{col 76}{space 3}0.095{col 84}{space 4}-.0042703{col 97}{space 3} .0535547
{txt}{space 34}segovia  {c |}{col 44}{res}{space 2}-.0122527{col 56}{space 2} .0199464{col 67}{space 1}   -0.61{col 76}{space 3}0.539{col 84}{space 4}-.0513476{col 97}{space 3} .0268421
{txt}{space 34}sevilla  {c |}{col 44}{res}{space 2} .0346358{col 56}{space 2} .0144099{col 67}{space 1}    2.40{col 76}{space 3}0.016{col 84}{space 4} .0063925{col 97}{space 3} .0628791
{txt}{space 36}soria  {c |}{col 44}{res}{space 2} .0341362{col 56}{space 2} .0239574{col 67}{space 1}    1.42{col 76}{space 3}0.154{col 84}{space 4}-.0128202{col 97}{space 3} .0810926
{txt}{space 32}tarragona  {c |}{col 44}{res}{space 2}-.0081406{col 56}{space 2} .0160167{col 67}{space 1}   -0.51{col 76}{space 3}0.611{col 84}{space 4}-.0395332{col 97}{space 3}  .023252
{txt}{space 35}teruel  {c |}{col 44}{res}{space 2} .0050574{col 56}{space 2} .0165327{col 67}{space 1}    0.31{col 76}{space 3}0.760{col 84}{space 4}-.0273465{col 97}{space 3} .0374613
{txt}{space 35}toledo  {c |}{col 44}{res}{space 2} .0563365{col 56}{space 2} .0157988{col 67}{space 1}    3.57{col 76}{space 3}0.000{col 84}{space 4}  .025371{col 97}{space 3}  .087302
{txt}{space 33}valencia  {c |}{col 44}{res}{space 2} .0415057{col 56}{space 2} .0135436{col 67}{space 1}    3.06{col 76}{space 3}0.002{col 84}{space 4} .0149604{col 97}{space 3}  .068051
{txt}{space 31}valladolid  {c |}{col 44}{res}{space 2} .0551916{col 56}{space 2} .0162172{col 67}{space 1}    3.40{col 76}{space 3}0.001{col 84}{space 4}  .023406{col 97}{space 3} .0869771
{txt}{space 34}vizcaya  {c |}{col 44}{res}{space 2} -.207173{col 56}{space 2} .0133668{col 67}{space 1}  -15.50{col 76}{space 3}0.000{col 84}{space 4}-.2333719{col 97}{space 3}-.1809741
{txt}{space 35}zamora  {c |}{col 44}{res}{space 2} .1088949{col 56}{space 2} .0177351{col 67}{space 1}    6.14{col 76}{space 3}0.000{col 84}{space 4} .0741343{col 97}{space 3} .1436555
{txt}{space 33}zaragoza  {c |}{col 44}{res}{space 2} .0009227{col 56}{space 2} .0160649{col 67}{space 1}    0.06{col 76}{space 3}0.954{col 84}{space 4}-.0305644{col 97}{space 3} .0324098
{txt}{space 42} {c |}
{space 25}municipality_size {c |}
{space 5}Between 2,001 and 10,000 inhabitants  {c |}{col 44}{res}{space 2}-.0063603{col 56}{space 2}   .00594{col 67}{space 1}   -1.07{col 76}{space 3}0.284{col 84}{space 4}-.0180027{col 97}{space 3} .0052821
{txt}{space 4}Between 10,001 and 50,000 inhabitants  {c |}{col 44}{res}{space 2}-.0157628{col 56}{space 2} .0059131{col 67}{space 1}   -2.67{col 76}{space 3}0.008{col 84}{space 4}-.0273525{col 97}{space 3}-.0041732
{txt}{space 3}Between 50,001 and 100,000 inhabitants  {c |}{col 44}{res}{space 2}-.0240213{col 56}{space 2}  .007018{col 67}{space 1}   -3.42{col 76}{space 3}0.001{col 84}{space 4}-.0377765{col 97}{space 3}-.0102662
{txt}{space 2}Between 100,001 and 400,000 inhabitants  {c |}{col 44}{res}{space 2}-.0081921{col 56}{space 2} .0061131{col 67}{space 1}   -1.34{col 76}{space 3}0.180{col 84}{space 4}-.0201738{col 97}{space 3} .0037896
{txt}Between 400,001 and 1,000,000 inhabitants  {c |}{col 44}{res}{space 2} -.031204{col 56}{space 2} .0103068{col 67}{space 1}   -3.03{col 76}{space 3}0.002{col 84}{space 4}-.0514053{col 97}{space 3}-.0110028
{txt}{space 10}More than 1,000,001 inhabitants  {c |}{col 44}{res}{space 2}-.0390632{col 56}{space 2} .0102194{col 67}{space 1}   -3.82{col 76}{space 3}0.000{col 84}{space 4}-.0590932{col 97}{space 3}-.0190332
{txt}{space 42} {c |}
{space 36}female {c |}{col 44}{res}{space 2}-.0155817{col 56}{space 2} .0034429{col 67}{space 1}   -4.53{col 76}{space 3}0.000{col 84}{space 4}-.0223298{col 97}{space 3}-.0088336
{txt}{space 39}age {c |}{col 44}{res}{space 2} .0013595{col 56}{space 2} .0001319{col 67}{space 1}   10.31{col 76}{space 3}0.000{col 84}{space 4} .0011011{col 97}{space 3}  .001618
{txt}{space 42} {c |}
{space 33}education {c |}
{space 32}Secondary  {c |}{col 44}{res}{space 2}-.0009767{col 56}{space 2} .0041165{col 67}{space 1}   -0.24{col 76}{space 3}0.812{col 84}{space 4}-.0090451{col 97}{space 3} .0070917
{txt}{space 25}Higher Education  {c |}{col 44}{res}{space 2} .0072883{col 56}{space 2} .0049211{col 67}{space 1}    1.48{col 76}{space 3}0.139{col 84}{space 4}-.0023569{col 97}{space 3} .0169336
{txt}{space 42} {c |}
{space 36}status {c |}
{space 31}Unemployed  {c |}{col 44}{res}{space 2}-.0133557{col 56}{space 2} .0055323{col 67}{space 1}   -2.41{col 76}{space 3}0.016{col 84}{space 4} -.024199{col 97}{space 3}-.0025123
{txt}{space 34}Retired  {c |}{col 44}{res}{space 2} .0146136{col 56}{space 2} .0056822{col 67}{space 1}    2.57{col 76}{space 3}0.010{col 84}{space 4} .0034765{col 97}{space 3} .0257508
{txt}{space 34}Student  {c |}{col 44}{res}{space 2}-.0179115{col 56}{space 2} .0066715{col 67}{space 1}   -2.68{col 76}{space 3}0.007{col 84}{space 4}-.0309875{col 97}{space 3}-.0048354
{txt}{space 30}Housekeeper  {c |}{col 44}{res}{space 2} .0035597{col 56}{space 2} .0052803{col 67}{space 1}    0.67{col 76}{space 3}0.500{col 84}{space 4}-.0067896{col 97}{space 3} .0139091
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} .1748398{col 56}{space 2} .0193246{col 67}{space 1}    9.05{col 76}{space 3}0.000{col 84}{space 4} .1369636{col 97}{space 3} .2127159
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}10{txt}, {res}84128{txt}) = {res}19.902{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\checkmark$"

{txt}added macro:
           e(SurveyFE) : "{res:$\checkmark$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\times$"

{txt}added macro:
           e(PeriodFE) : "{res:$\times$}"

{com}. estadd local PeriodCtrols "\times$"

{txt}added macro:
       e(PeriodCtrols) : "{res:\times$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Pre-10"

{txt}added macro:
             e(Sample) : "{res:Pre-10}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Q1"

{txt}added macro:
            e(Outcome) : "{res:Q1}"

{com}. 
. boottest top_prizes_gdp_term_2, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_term_2

{txt}{col 28}t(49) = {res}    0.7401
{col 25}{txt}Prob>|t| = {res}    0.5686

95%{txt} confidence set for null hypothesis expression: {res}[−.01871, .0529]
{txt}
{com}. gen pre_sample=1 if e(sample)==1
{txt}(72,254 missing values generated)

{com}. 
. ** Col 5, TABLE 4. Propensities corrected + Fixed effects corrected, POST period, Q1:
. eststo b_post_Q1: areg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original i.prov_num $individual_characteristics if year_original>=2010, absorb(survey) 
{txt}{p 0 6 2}note: {bf:2015.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2016.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2019.year_original} omitted because of collinearity.{p_end}
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:29,097}
{txt}{col 1}Absorbed variable: {res:survey}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:6}
{txt}{col 53}{lalign 17:F({res:68}, {res:29023})}{col 70} = {res}{ralign 6:13.45}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.0345}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.0321}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.3865}

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                            vote_incumbent{col 44}{c |} Coefficient{col 56}  Std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}top_prizes_gdp_term_2 {c |}{col 44}{res}{space 2} .0036526{col 56}{space 2} .0094111{col 67}{space 1}    0.39{col 76}{space 3}0.698{col 84}{space 4}-.0147935{col 97}{space 3} .0220988
{txt}{space 20}expenditure_gdp_term_2 {c |}{col 44}{res}{space 2}-.1279894{col 56}{space 2} .0611832{col 67}{space 1}   -2.09{col 76}{space 3}0.036{col 84}{space 4}-.2479114{col 97}{space 3}-.0080675
{txt}{space 42} {c |}
{space 29}year_original {c |}
{space 37}2015  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2016  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 37}2019  {c |}{col 44}{res}{space 2}        0{col 56}{txt}  (omitted)
{space 42} {c |}
{space 4}year_original#c.expenditure_gdp_term_2 {c |}
{space 37}2015  {c |}{col 44}{res}{space 2} .1676072{col 56}{space 2} .0448003{col 67}{space 1}    3.74{col 76}{space 3}0.000{col 84}{space 4} .0797966{col 97}{space 3} .2554178
{txt}{space 37}2016  {c |}{col 44}{res}{space 2} .1242866{col 56}{space 2} .1467294{col 67}{space 1}    0.85{col 76}{space 3}0.397{col 84}{space 4}-.1633098{col 97}{space 3}  .411883
{txt}{space 37}2019  {c |}{col 44}{res}{space 2}-.1819279{col 56}{space 2} .1267458{col 67}{space 1}   -1.44{col 76}{space 3}0.151{col 84}{space 4}-.4303554{col 97}{space 3} .0664996
{txt}{space 42} {c |}
{space 34}prov_num {c |}
{space 36}alava  {c |}{col 44}{res}{space 2}-.0990678{col 56}{space 2} .0352815{col 67}{space 1}   -2.81{col 76}{space 3}0.005{col 84}{space 4}-.1682212{col 97}{space 3}-.0299144
{txt}{space 33}albacete  {c |}{col 44}{res}{space 2} .0153565{col 56}{space 2} .0264038{col 67}{space 1}    0.58{col 76}{space 3}0.561{col 84}{space 4}-.0363961{col 97}{space 3} .0671091
{txt}{space 33}alicante  {c |}{col 44}{res}{space 2} .0594944{col 56}{space 2} .0222708{col 67}{space 1}    2.67{col 76}{space 3}0.008{col 84}{space 4} .0158426{col 97}{space 3} .1031461
{txt}{space 34}almeria  {c |}{col 44}{res}{space 2}  .072472{col 56}{space 2} .0238215{col 67}{space 1}    3.04{col 76}{space 3}0.002{col 84}{space 4} .0257808{col 97}{space 3} .1191633
{txt}{space 33}asturias  {c |}{col 44}{res}{space 2}  .005475{col 56}{space 2} .0273137{col 67}{space 1}    0.20{col 76}{space 3}0.841{col 84}{space 4} -.048061{col 97}{space 3}  .059011
{txt}{space 36}avila  {c |}{col 44}{res}{space 2}-.0282829{col 56}{space 2} .0377586{col 67}{space 1}   -0.75{col 76}{space 3}0.454{col 84}{space 4}-.1022915{col 97}{space 3} .0457257
{txt}{space 34}badajoz  {c |}{col 44}{res}{space 2} .0712424{col 56}{space 2} .0251678{col 67}{space 1}    2.83{col 76}{space 3}0.005{col 84}{space 4} .0219124{col 97}{space 3} .1205725
{txt}{space 32}barcelona  {c |}{col 44}{res}{space 2}-.0468208{col 56}{space 2} .0264861{col 67}{space 1}   -1.77{col 76}{space 3}0.077{col 84}{space 4}-.0987347{col 97}{space 3} .0050931
{txt}{space 35}burgos  {c |}{col 44}{res}{space 2} .0630604{col 56}{space 2} .0352431{col 67}{space 1}    1.79{col 76}{space 3}0.074{col 84}{space 4}-.0060177{col 97}{space 3} .1321384
{txt}{space 34}caceres  {c |}{col 44}{res}{space 2} .1257271{col 56}{space 2} .0282288{col 67}{space 1}    4.45{col 76}{space 3}0.000{col 84}{space 4} .0703974{col 97}{space 3} .1810569
{txt}{space 36}cadiz  {c |}{col 44}{res}{space 2} .0085048{col 56}{space 2} .0251194{col 67}{space 1}    0.34{col 76}{space 3}0.735{col 84}{space 4}-.0407303{col 97}{space 3} .0577399
{txt}{space 32}cantabria  {c |}{col 44}{res}{space 2} .0048647{col 56}{space 2} .0238337{col 67}{space 1}    0.20{col 76}{space 3}0.838{col 84}{space 4}-.0418505{col 97}{space 3}   .05158
{txt}{space 32}castellon  {c |}{col 44}{res}{space 2} .0163834{col 56}{space 2} .0234967{col 67}{space 1}    0.70{col 76}{space 3}0.486{col 84}{space 4}-.0296712{col 97}{space 3} .0624381
{txt}{space 30}ciudad real  {c |}{col 44}{res}{space 2} .0317974{col 56}{space 2} .0292639{col 67}{space 1}    1.09{col 76}{space 3}0.277{col 84}{space 4}-.0255611{col 97}{space 3} .0891559
{txt}{space 34}cordoba  {c |}{col 44}{res}{space 2} .0206972{col 56}{space 2} .0230815{col 67}{space 1}    0.90{col 76}{space 3}0.370{col 84}{space 4}-.0245436{col 97}{space 3} .0659379
{txt}{space 35}cuenca  {c |}{col 44}{res}{space 2} .0533461{col 56}{space 2} .0378194{col 67}{space 1}    1.41{col 76}{space 3}0.158{col 84}{space 4}-.0207817{col 97}{space 3}  .127474
{txt}{space 33}gipuzkoa  {c |}{col 44}{res}{space 2}-.1168216{col 56}{space 2}  .028529{col 67}{space 1}   -4.09{col 76}{space 3}0.000{col 84}{space 4}-.1727397{col 97}{space 3}-.0609035
{txt}{space 35}girona  {c |}{col 44}{res}{space 2}-.1188101{col 56}{space 2} .0344715{col 67}{space 1}   -3.45{col 76}{space 3}0.001{col 84}{space 4}-.1863758{col 97}{space 3}-.0512444
{txt}{space 34}granada  {c |}{col 44}{res}{space 2} .0814076{col 56}{space 2} .0240886{col 67}{space 1}    3.38{col 76}{space 3}0.001{col 84}{space 4} .0341928{col 97}{space 3} .1286225
{txt}{space 30}guadalajara  {c |}{col 44}{res}{space 2} .0604733{col 56}{space 2} .0275915{col 67}{space 1}    2.19{col 76}{space 3}0.028{col 84}{space 4} .0063926{col 97}{space 3} .1145539
{txt}{space 35}huelva  {c |}{col 44}{res}{space 2} .0269663{col 56}{space 2}  .032359{col 67}{space 1}    0.83{col 76}{space 3}0.405{col 84}{space 4}-.0364588{col 97}{space 3} .0903915
{txt}{space 35}huesca  {c |}{col 44}{res}{space 2}-.0189368{col 56}{space 2} .0330514{col 67}{space 1}   -0.57{col 76}{space 3}0.567{col 84}{space 4} -.083719{col 97}{space 3} .0458455
{txt}{space 27}islas baleares  {c |}{col 44}{res}{space 2}-.0175805{col 56}{space 2} .0331814{col 67}{space 1}   -0.53{col 76}{space 3}0.596{col 84}{space 4}-.0826177{col 97}{space 3} .0474566
{txt}{space 37}jaen  {c |}{col 44}{res}{space 2} .0557776{col 56}{space 2} .0252258{col 67}{space 1}    2.21{col 76}{space 3}0.027{col 84}{space 4} .0063339{col 97}{space 3} .1052214
{txt}{space 33}la rioja  {c |}{col 44}{res}{space 2} .0213209{col 56}{space 2} .0267124{col 67}{space 1}    0.80{col 76}{space 3}0.425{col 84}{space 4}-.0310365{col 97}{space 3} .0736784
{txt}{space 31}las palmas  {c |}{col 44}{res}{space 2} .0127519{col 56}{space 2} .0297293{col 67}{space 1}    0.43{col 76}{space 3}0.668{col 84}{space 4}-.0455188{col 97}{space 3} .0710226
{txt}{space 37}leon  {c |}{col 44}{res}{space 2} .0348214{col 56}{space 2} .0298205{col 67}{space 1}    1.17{col 76}{space 3}0.243{col 84}{space 4}-.0236282{col 97}{space 3}  .093271
{txt}{space 35}lleida  {c |}{col 44}{res}{space 2}-.0529713{col 56}{space 2} .0291214{col 67}{space 1}   -1.82{col 76}{space 3}0.069{col 84}{space 4}-.1100505{col 97}{space 3} .0041079
{txt}{space 37}lugo  {c |}{col 44}{res}{space 2} .0054421{col 56}{space 2} .0264457{col 67}{space 1}    0.21{col 76}{space 3}0.837{col 84}{space 4}-.0463927{col 97}{space 3} .0572769
{txt}{space 35}madrid  {c |}{col 44}{res}{space 2}-.0014359{col 56}{space 2} .0221475{col 67}{space 1}   -0.06{col 76}{space 3}0.948{col 84}{space 4} -.044846{col 97}{space 3} .0419742
{txt}{space 35}malaga  {c |}{col 44}{res}{space 2}  .055313{col 56}{space 2} .0214605{col 67}{space 1}    2.58{col 76}{space 3}0.010{col 84}{space 4} .0132495{col 97}{space 3} .0973765
{txt}{space 35}murcia  {c |}{col 44}{res}{space 2} .0013493{col 56}{space 2} .0210406{col 67}{space 1}    0.06{col 76}{space 3}0.949{col 84}{space 4}-.0398912{col 97}{space 3} .0425898
{txt}{space 34}navarra  {c |}{col 44}{res}{space 2}-.0221656{col 56}{space 2} .0305112{col 67}{space 1}   -0.73{col 76}{space 3}0.468{col 84}{space 4} -.081969{col 97}{space 3} .0376378
{txt}{space 34}ourense  {c |}{col 44}{res}{space 2} .0208139{col 56}{space 2} .0280789{col 67}{space 1}    0.74{col 76}{space 3}0.459{col 84}{space 4}-.0342219{col 97}{space 3} .0758498
{txt}{space 33}palencia  {c |}{col 44}{res}{space 2} .0233468{col 56}{space 2} .0360192{col 67}{space 1}    0.65{col 76}{space 3}0.517{col 84}{space 4}-.0472524{col 97}{space 3}  .093946
{txt}{space 31}pontevedra  {c |}{col 44}{res}{space 2}-.0328906{col 56}{space 2} .0226779{col 67}{space 1}   -1.45{col 76}{space 3}0.147{col 84}{space 4}-.0773403{col 97}{space 3} .0115591
{txt}{space 32}salamanca  {c |}{col 44}{res}{space 2} .0362445{col 56}{space 2} .0311988{col 67}{space 1}    1.16{col 76}{space 3}0.245{col 84}{space 4}-.0249066{col 97}{space 3} .0973955
{txt}{space 19}santa cruz de tenerife  {c |}{col 44}{res}{space 2}    .0653{col 56}{space 2} .0221776{col 67}{space 1}    2.94{col 76}{space 3}0.003{col 84}{space 4} .0218309{col 97}{space 3} .1087692
{txt}{space 34}segovia  {c |}{col 44}{res}{space 2} .0686054{col 56}{space 2} .0512121{col 67}{space 1}    1.34{col 76}{space 3}0.180{col 84}{space 4}-.0317728{col 97}{space 3} .1689835
{txt}{space 34}sevilla  {c |}{col 44}{res}{space 2} .0132658{col 56}{space 2}  .025032{col 67}{space 1}    0.53{col 76}{space 3}0.596{col 84}{space 4} -.035798{col 97}{space 3} .0623296
{txt}{space 36}soria  {c |}{col 44}{res}{space 2} .1520775{col 56}{space 2} .0933799{col 67}{space 1}    1.63{col 76}{space 3}0.103{col 84}{space 4}-.0309515{col 97}{space 3} .3351064
{txt}{space 32}tarragona  {c |}{col 44}{res}{space 2} -.082288{col 56}{space 2}  .034724{col 67}{space 1}   -2.37{col 76}{space 3}0.018{col 84}{space 4}-.1503486{col 97}{space 3}-.0142274
{txt}{space 35}teruel  {c |}{col 44}{res}{space 2} .0181531{col 56}{space 2} .0333615{col 67}{space 1}    0.54{col 76}{space 3}0.586{col 84}{space 4} -.047237{col 97}{space 3} .0835432
{txt}{space 35}toledo  {c |}{col 44}{res}{space 2} .0489869{col 56}{space 2} .0245655{col 67}{space 1}    1.99{col 76}{space 3}0.046{col 84}{space 4} .0008373{col 97}{space 3} .0971364
{txt}{space 33}valencia  {c |}{col 44}{res}{space 2}  .022493{col 56}{space 2}    .0199{col 67}{space 1}    1.13{col 76}{space 3}0.258{col 84}{space 4}-.0165118{col 97}{space 3} .0614978
{txt}{space 31}valladolid  {c |}{col 44}{res}{space 2} .0027594{col 56}{space 2} .0236667{col 67}{space 1}    0.12{col 76}{space 3}0.907{col 84}{space 4}-.0436284{col 97}{space 3} .0491472
{txt}{space 34}vizcaya  {c |}{col 44}{res}{space 2}-.0923208{col 56}{space 2} .0212844{col 67}{space 1}   -4.34{col 76}{space 3}0.000{col 84}{space 4}-.1340392{col 97}{space 3}-.0506025
{txt}{space 35}zamora  {c |}{col 44}{res}{space 2} .1057317{col 56}{space 2} .0393713{col 67}{space 1}    2.69{col 76}{space 3}0.007{col 84}{space 4} .0285621{col 97}{space 3} .1829012
{txt}{space 33}zaragoza  {c |}{col 44}{res}{space 2} .0016828{col 56}{space 2} .0234431{col 67}{space 1}    0.07{col 76}{space 3}0.943{col 84}{space 4}-.0442668{col 97}{space 3} .0476324
{txt}{space 42} {c |}
{space 25}municipality_size {c |}
{space 5}Between 2,001 and 10,000 inhabitants  {c |}{col 44}{res}{space 2} .0161437{col 56}{space 2} .0097436{col 67}{space 1}    1.66{col 76}{space 3}0.098{col 84}{space 4}-.0029543{col 97}{space 3} .0352417
{txt}{space 4}Between 10,001 and 50,000 inhabitants  {c |}{col 44}{res}{space 2}-.0076234{col 56}{space 2} .0094689{col 67}{space 1}   -0.81{col 76}{space 3}0.421{col 84}{space 4}-.0261829{col 97}{space 3} .0109361
{txt}{space 3}Between 50,001 and 100,000 inhabitants  {c |}{col 44}{res}{space 2} .0037803{col 56}{space 2} .0105897{col 67}{space 1}    0.36{col 76}{space 3}0.721{col 84}{space 4} -.016976{col 97}{space 3} .0245365
{txt}{space 2}Between 100,001 and 400,000 inhabitants  {c |}{col 44}{res}{space 2} .0074335{col 56}{space 2} .0097427{col 67}{space 1}    0.76{col 76}{space 3}0.445{col 84}{space 4}-.0116627{col 97}{space 3} .0265297
{txt}Between 400,001 and 1,000,000 inhabitants  {c |}{col 44}{res}{space 2}-.0202905{col 56}{space 2} .0141406{col 67}{space 1}   -1.43{col 76}{space 3}0.151{col 84}{space 4}-.0480067{col 97}{space 3} .0074256
{txt}{space 10}More than 1,000,001 inhabitants  {c |}{col 44}{res}{space 2}  .008919{col 56}{space 2} .0143765{col 67}{space 1}    0.62{col 76}{space 3}0.535{col 84}{space 4}-.0192595{col 97}{space 3} .0370975
{txt}{space 42} {c |}
{space 36}female {c |}{col 44}{res}{space 2}-.0013829{col 56}{space 2} .0047236{col 67}{space 1}   -0.29{col 76}{space 3}0.770{col 84}{space 4}-.0106415{col 97}{space 3} .0078756
{txt}{space 39}age {c |}{col 44}{res}{space 2} .0018713{col 56}{space 2} .0002118{col 67}{space 1}    8.83{col 76}{space 3}0.000{col 84}{space 4} .0014562{col 97}{space 3} .0022865
{txt}{space 42} {c |}
{space 33}education {c |}
{space 32}Secondary  {c |}{col 44}{res}{space 2}-.0252452{col 56}{space 2} .0057355{col 67}{space 1}   -4.40{col 76}{space 3}0.000{col 84}{space 4}-.0364869{col 97}{space 3}-.0140034
{txt}{space 25}Higher Education  {c |}{col 44}{res}{space 2} -.036561{col 56}{space 2} .0064479{col 67}{space 1}   -5.67{col 76}{space 3}0.000{col 84}{space 4}-.0491991{col 97}{space 3}-.0239229
{txt}{space 42} {c |}
{space 36}status {c |}
{space 31}Unemployed  {c |}{col 44}{res}{space 2} .0111582{col 56}{space 2} .0067647{col 67}{space 1}    1.65{col 76}{space 3}0.099{col 84}{space 4}-.0021009{col 97}{space 3} .0244174
{txt}{space 34}Retired  {c |}{col 44}{res}{space 2}  .038907{col 56}{space 2}  .008126{col 67}{space 1}    4.79{col 76}{space 3}0.000{col 84}{space 4} .0229798{col 97}{space 3} .0548343
{txt}{space 34}Student  {c |}{col 44}{res}{space 2} .0187388{col 56}{space 2} .0120479{col 67}{space 1}    1.56{col 76}{space 3}0.120{col 84}{space 4}-.0048756{col 97}{space 3} .0423532
{txt}{space 30}Housekeeper  {c |}{col 44}{res}{space 2}  .007699{col 56}{space 2}  .010655{col 67}{space 1}    0.72{col 76}{space 3}0.470{col 84}{space 4}-.0131854{col 97}{space 3} .0285834
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} .1577544{col 56}{space 2} .0516656{col 67}{space 1}    3.05{col 76}{space 3}0.002{col 84}{space 4} .0564875{col 97}{space 3} .2590213
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}5{txt}, {res}29023{txt}) = {res}19.226{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\checkmark$"

{txt}added macro:
           e(SurveyFE) : "{res:$\checkmark$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\times$"

{txt}added macro:
           e(PeriodFE) : "{res:$\times$}"

{com}. estadd local PeriodCtrols "\times$"

{txt}added macro:
       e(PeriodCtrols) : "{res:\times$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Post-09"

{txt}added macro:
             e(Sample) : "{res:Post-09}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Q1"

{txt}added macro:
            e(Outcome) : "{res:Q1}"

{com}. 
. boottest top_prizes_gdp_term_2, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_term_2

{txt}{col 28}t(49) = {res}    0.2237
{col 25}{txt}Prob>|t| = {res}    0.8348

95%{txt} confidence set for null hypothesis expression: {res}[−.06031, .06974]
{txt}
{com}. gen post_sample=1 if e(sample)==1
{txt}(127,366 missing values generated)

{com}. 
. 
. ** Col 6, TABLE 4. Propensities corrected + Fixed effects corrected, POOLED period, Q1:
. eststo b_pooled_Q1: areg vote_incumbent top_prizes_gdp_term_2 c.expenditure_gdp_term_2##i.year_original i.prov_num preperiod $individual_characteristics $ind_char_preperiod i.prov_num#preperiod, absorb(survey) 
{txt}{p 0 6 2}note: {bf:1993.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1996.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2000.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2004.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2008.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2011.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2015.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2016.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2019.year_original} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:preperiod} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#7.municipality_size} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#0b.female} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#1.female} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#3.education} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.preperiod#5.status} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:50.prov_num#1.preperiod} omitted because of collinearity.{p_end}
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 52}{lalign 17:Number of obs}{col 69} = {res}{ralign 7:113,306}
{txt}{col 1}Absorbed variable: {res:survey}{col 52}{lalign 17:No. of categories}{col 69} = {res}{ralign 7:17}
{txt}{col 52}{lalign 17:F({res:137}, {res:113152})}{col 69} = {res}{ralign 7:30.11}
{txt}{col 52}{lalign 17:Prob > F}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 52}{lalign 17:R-squared}{col 69} = {res}{ralign 7:0.0472}
{txt}{col 52}{lalign 17:Adj R-squared}{col 69} = {res}{ralign 7:0.0459}
{txt}{col 52}{lalign 17:Root MSE}{col 69} = {res}{ralign 7:0.4278}

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              vote_incumbent{col 46}{c |} Coefficient{col 58}  Std. err.{col 70}      t{col 78}   P>|t|{col 86}     [95% con{col 99}f. interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}top_prizes_gdp_term_2 {c |}{col 46}{res}{space 2} .0036118{col 58}{space 2} .0013516{col 69}{space 1}    2.67{col 78}{space 3}0.008{col 86}{space 4} .0009627{col 99}{space 3} .0062609
{txt}{space 22}expenditure_gdp_term_2 {c |}{col 46}{res}{space 2}-.0283784{col 58}{space 2} .0277777{col 69}{space 1}   -1.02{col 78}{space 3}0.307{col 86}{space 4}-.0828223{col 99}{space 3} .0260655
{txt}{space 44} {c |}
{space 31}year_original {c |}
{space 39}1993  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}1996  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2000  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2004  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2008  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2011  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2015  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2016  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 39}2019  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 6}year_original#c.expenditure_gdp_term_2 {c |}
{space 39}1993  {c |}{col 46}{res}{space 2} .0040453{col 58}{space 2} .0297307{col 69}{space 1}    0.14{col 78}{space 3}0.892{col 86}{space 4}-.0542266{col 99}{space 3} .0623171
{txt}{space 39}1996  {c |}{col 46}{res}{space 2} .0020247{col 58}{space 2} .0369409{col 69}{space 1}    0.05{col 78}{space 3}0.956{col 86}{space 4}-.0703789{col 99}{space 3} .0744284
{txt}{space 39}2000  {c |}{col 46}{res}{space 2}  .143281{col 58}{space 2} .0259557{col 69}{space 1}    5.52{col 78}{space 3}0.000{col 86}{space 4} .0924082{col 99}{space 3} .1941538
{txt}{space 39}2004  {c |}{col 46}{res}{space 2} .1114858{col 58}{space 2} .0259297{col 69}{space 1}    4.30{col 78}{space 3}0.000{col 86}{space 4}  .060664{col 99}{space 3} .1623075
{txt}{space 39}2008  {c |}{col 46}{res}{space 2} .0194006{col 58}{space 2} .0262444{col 69}{space 1}    0.74{col 78}{space 3}0.460{col 86}{space 4}-.0320381{col 99}{space 3} .0708393
{txt}{space 39}2011  {c |}{col 46}{res}{space 2} -.099624{col 58}{space 2} .0731372{col 69}{space 1}   -1.36{col 78}{space 3}0.173{col 86}{space 4}-.2429718{col 99}{space 3} .0437237
{txt}{space 39}2015  {c |}{col 46}{res}{space 2} .0679964{col 58}{space 2}  .061118{col 69}{space 1}    1.11{col 78}{space 3}0.266{col 86}{space 4}-.0517939{col 99}{space 3} .1877868
{txt}{space 39}2016  {c |}{col 46}{res}{space 2} .0246532{col 58}{space 2} .2065592{col 69}{space 1}    0.12{col 78}{space 3}0.905{col 86}{space 4}-.3801998{col 99}{space 3} .4295061
{txt}{space 39}2019  {c |}{col 46}{res}{space 2}-.2815626{col 58}{space 2} .1917285{col 69}{space 1}   -1.47{col 78}{space 3}0.142{col 86}{space 4}-.6573476{col 99}{space 3} .0942223
{txt}{space 44} {c |}
{space 36}prov_num {c |}
{space 38}alava  {c |}{col 46}{res}{space 2}-.0990709{col 58}{space 2} .0390486{col 69}{space 1}   -2.54{col 78}{space 3}0.011{col 86}{space 4}-.1756055{col 99}{space 3}-.0225362
{txt}{space 35}albacete  {c |}{col 46}{res}{space 2} .0153578{col 58}{space 2} .0292269{col 69}{space 1}    0.53{col 78}{space 3}0.599{col 86}{space 4}-.0419265{col 99}{space 3} .0726421
{txt}{space 35}alicante  {c |}{col 46}{res}{space 2} .0595088{col 58}{space 2} .0243824{col 69}{space 1}    2.44{col 78}{space 3}0.015{col 86}{space 4} .0117196{col 99}{space 3} .1072979
{txt}{space 36}almeria  {c |}{col 46}{res}{space 2} .0724877{col 58}{space 2} .0260695{col 69}{space 1}    2.78{col 78}{space 3}0.005{col 86}{space 4}  .021392{col 99}{space 3} .1235835
{txt}{space 35}asturias  {c |}{col 46}{res}{space 2} .0054776{col 58}{space 2} .0302289{col 69}{space 1}    0.18{col 78}{space 3}0.856{col 86}{space 4}-.0537707{col 99}{space 3} .0647258
{txt}{space 38}avila  {c |}{col 46}{res}{space 2}-.0282787{col 58}{space 2} .0417851{col 69}{space 1}   -0.68{col 78}{space 3}0.499{col 86}{space 4}-.1101768{col 99}{space 3} .0536194
{txt}{space 36}badajoz  {c |}{col 46}{res}{space 2} .0712471{col 58}{space 2}  .027835{col 69}{space 1}    2.56{col 78}{space 3}0.010{col 86}{space 4} .0166909{col 99}{space 3} .1258034
{txt}{space 34}barcelona  {c |}{col 46}{res}{space 2}-.0468194{col 58}{space 2} .0293177{col 69}{space 1}   -1.60{col 78}{space 3}0.110{col 86}{space 4}-.1042815{col 99}{space 3} .0106428
{txt}{space 37}burgos  {c |}{col 46}{res}{space 2} .0630684{col 58}{space 2} .0389611{col 69}{space 1}    1.62{col 78}{space 3}0.106{col 86}{space 4}-.0132947{col 99}{space 3} .1394315
{txt}{space 36}caceres  {c |}{col 46}{res}{space 2} .1257298{col 58}{space 2} .0312418{col 69}{space 1}    4.02{col 78}{space 3}0.000{col 86}{space 4} .0644964{col 99}{space 3} .1869632
{txt}{space 38}cadiz  {c |}{col 46}{res}{space 2} .0085043{col 58}{space 2} .0278066{col 69}{space 1}    0.31{col 78}{space 3}0.760{col 86}{space 4}-.0459963{col 99}{space 3} .0630048
{txt}{space 34}cantabria  {c |}{col 46}{res}{space 2} .0048658{col 58}{space 2} .0263824{col 69}{space 1}    0.18{col 78}{space 3}0.854{col 86}{space 4}-.0468433{col 99}{space 3} .0565749
{txt}{space 34}castellon  {c |}{col 46}{res}{space 2} .0163833{col 58}{space 2} .0260107{col 69}{space 1}    0.63{col 78}{space 3}0.529{col 86}{space 4}-.0345971{col 99}{space 3} .0673638
{txt}{space 32}ciudad real  {c |}{col 46}{res}{space 2}  .031799{col 58}{space 2} .0323923{col 69}{space 1}    0.98{col 78}{space 3}0.326{col 86}{space 4}-.0316894{col 99}{space 3} .0952874
{txt}{space 36}cordoba  {c |}{col 46}{res}{space 2} .0206971{col 58}{space 2}  .025551{col 69}{space 1}    0.81{col 78}{space 3}0.418{col 86}{space 4}-.0293824{col 99}{space 3} .0707767
{txt}{space 37}cuenca  {c |}{col 46}{res}{space 2} .0533504{col 58}{space 2}  .041852{col 69}{space 1}    1.27{col 78}{space 3}0.202{col 86}{space 4} -.028679{col 99}{space 3} .1353798
{txt}{space 35}gipuzkoa  {c |}{col 46}{res}{space 2}-.1168225{col 58}{space 2} .0315806{col 69}{space 1}   -3.70{col 78}{space 3}0.000{col 86}{space 4}-.1787199{col 99}{space 3} -.054925
{txt}{space 37}girona  {c |}{col 46}{res}{space 2}-.1188115{col 58}{space 2}  .038158{col 69}{space 1}   -3.11{col 78}{space 3}0.002{col 86}{space 4}-.1936006{col 99}{space 3}-.0440223
{txt}{space 36}granada  {c |}{col 46}{res}{space 2} .0814135{col 58}{space 2} .0266248{col 69}{space 1}    3.06{col 78}{space 3}0.002{col 86}{space 4} .0292294{col 99}{space 3} .1335976
{txt}{space 32}guadalajara  {c |}{col 46}{res}{space 2}  .060473{col 58}{space 2} .0305435{col 69}{space 1}    1.98{col 78}{space 3}0.048{col 86}{space 4} .0006082{col 99}{space 3} .1203378
{txt}{space 37}huelva  {c |}{col 46}{res}{space 2} .0269634{col 58}{space 2} .0358136{col 69}{space 1}    0.75{col 78}{space 3}0.452{col 86}{space 4}-.0432307{col 99}{space 3} .0971576
{txt}{space 37}huesca  {c |}{col 46}{res}{space 2}-.0189239{col 58}{space 2} .0364426{col 69}{space 1}   -0.52{col 78}{space 3}0.604{col 86}{space 4}-.0903508{col 99}{space 3}  .052503
{txt}{space 29}islas baleares  {c |}{col 46}{res}{space 2}-.0175843{col 58}{space 2} .0367193{col 69}{space 1}   -0.48{col 78}{space 3}0.632{col 86}{space 4}-.0895536{col 99}{space 3}  .054385
{txt}{space 39}jaen  {c |}{col 46}{res}{space 2} .0557794{col 58}{space 2}  .027921{col 69}{space 1}    2.00{col 78}{space 3}0.046{col 86}{space 4} .0010547{col 99}{space 3} .1105042
{txt}{space 35}la rioja  {c |}{col 46}{res}{space 2} .0213219{col 58}{space 2} .0295693{col 69}{space 1}    0.72{col 78}{space 3}0.471{col 86}{space 4}-.0366334{col 99}{space 3} .0792772
{txt}{space 33}las palmas  {c |}{col 46}{res}{space 2} .0127493{col 58}{space 2} .0329032{col 69}{space 1}    0.39{col 78}{space 3}0.698{col 86}{space 4}-.0517406{col 99}{space 3} .0772391
{txt}{space 39}leon  {c |}{col 46}{res}{space 2}  .034824{col 58}{space 2} .0330045{col 69}{space 1}    1.06{col 78}{space 3}0.291{col 86}{space 4}-.0298644{col 99}{space 3} .0995123
{txt}{space 37}lleida  {c |}{col 46}{res}{space 2}-.0529629{col 58}{space 2} .0321679{col 69}{space 1}   -1.65{col 78}{space 3}0.100{col 86}{space 4}-.1160115{col 99}{space 3} .0100856
{txt}{space 39}lugo  {c |}{col 46}{res}{space 2} .0054445{col 58}{space 2} .0292691{col 69}{space 1}    0.19{col 78}{space 3}0.852{col 86}{space 4}-.0519225{col 99}{space 3} .0628114
{txt}{space 37}madrid  {c |}{col 46}{res}{space 2}-.0014301{col 58}{space 2} .0244724{col 69}{space 1}   -0.06{col 78}{space 3}0.953{col 86}{space 4}-.0493956{col 99}{space 3} .0465355
{txt}{space 37}malaga  {c |}{col 46}{res}{space 2} .0553123{col 58}{space 2} .0237559{col 69}{space 1}    2.33{col 78}{space 3}0.020{col 86}{space 4} .0087511{col 99}{space 3} .1018736
{txt}{space 37}murcia  {c |}{col 46}{res}{space 2} .0013515{col 58}{space 2} .0232849{col 69}{space 1}    0.06{col 78}{space 3}0.954{col 86}{space 4}-.0442866{col 99}{space 3} .0469897
{txt}{space 36}navarra  {c |}{col 46}{res}{space 2}-.0221676{col 58}{space 2} .0337721{col 69}{space 1}   -0.66{col 78}{space 3}0.512{col 86}{space 4}-.0883604{col 99}{space 3} .0440253
{txt}{space 36}ourense  {c |}{col 46}{res}{space 2} .0208123{col 58}{space 2} .0310805{col 69}{space 1}    0.67{col 78}{space 3}0.503{col 86}{space 4}-.0401049{col 99}{space 3} .0817296
{txt}{space 35}palencia  {c |}{col 46}{res}{space 2} .0233509{col 58}{space 2} .0398597{col 69}{space 1}    0.59{col 78}{space 3}0.558{col 86}{space 4}-.0547735{col 99}{space 3} .1014753
{txt}{space 33}pontevedra  {c |}{col 46}{res}{space 2}-.0328912{col 58}{space 2} .0251037{col 69}{space 1}   -1.31{col 78}{space 3}0.190{col 86}{space 4}-.0820941{col 99}{space 3} .0163117
{txt}{space 34}salamanca  {c |}{col 46}{res}{space 2} .0362957{col 58}{space 2} .0320152{col 69}{space 1}    1.13{col 78}{space 3}0.257{col 86}{space 4}-.0264536{col 99}{space 3}  .099045
{txt}{space 21}santa cruz de tenerife  {c |}{col 46}{res}{space 2} .0653033{col 58}{space 2} .0245362{col 69}{space 1}    2.66{col 78}{space 3}0.008{col 86}{space 4} .0172127{col 99}{space 3} .1133939
{txt}{space 36}segovia  {c |}{col 46}{res}{space 2} .0686119{col 58}{space 2} .0566672{col 69}{space 1}    1.21{col 78}{space 3}0.226{col 86}{space 4} -.042455{col 99}{space 3} .1796789
{txt}{space 36}sevilla  {c |}{col 46}{res}{space 2} .0132653{col 58}{space 2} .0277099{col 69}{space 1}    0.48{col 78}{space 3}0.632{col 86}{space 4}-.0410456{col 99}{space 3} .0675762
{txt}{space 38}soria  {c |}{col 46}{res}{space 2} .1520902{col 58}{space 2} .1033208{col 69}{space 1}    1.47{col 78}{space 3}0.141{col 86}{space 4} -.050417{col 99}{space 3} .3545973
{txt}{space 34}tarragona  {c |}{col 46}{res}{space 2}-.0822472{col 58}{space 2} .0370272{col 69}{space 1}   -2.22{col 78}{space 3}0.026{col 86}{space 4}-.1548199{col 99}{space 3}-.0096745
{txt}{space 37}teruel  {c |}{col 46}{res}{space 2} .0181555{col 58}{space 2}  .036926{col 69}{space 1}    0.49{col 78}{space 3}0.623{col 86}{space 4}-.0542189{col 99}{space 3} .0905299
{txt}{space 37}toledo  {c |}{col 46}{res}{space 2} .0489879{col 58}{space 2} .0271925{col 69}{space 1}    1.80{col 78}{space 3}0.072{col 86}{space 4}-.0043089{col 99}{space 3} .1022848
{txt}{space 35}valencia  {c |}{col 46}{res}{space 2}  .022495{col 58}{space 2} .0220229{col 69}{space 1}    1.02{col 78}{space 3}0.307{col 86}{space 4}-.0206695{col 99}{space 3} .0656596
{txt}{space 33}valladolid  {c |}{col 46}{res}{space 2} .0027587{col 58}{space 2} .0261982{col 69}{space 1}    0.11{col 78}{space 3}0.916{col 86}{space 4}-.0485894{col 99}{space 3} .0541069
{txt}{space 36}vizcaya  {c |}{col 46}{res}{space 2}-.0923211{col 58}{space 2} .0235614{col 69}{space 1}   -3.92{col 78}{space 3}0.000{col 86}{space 4}-.1385012{col 99}{space 3}-.0461411
{txt}{space 37}zamora  {c |}{col 46}{res}{space 2} .1057357{col 58}{space 2} .0435721{col 69}{space 1}    2.43{col 78}{space 3}0.015{col 86}{space 4} .0203349{col 99}{space 3} .1911364
{txt}{space 35}zaragoza  {c |}{col 46}{res}{space 2} .0016831{col 58}{space 2} .0259512{col 69}{space 1}    0.06{col 78}{space 3}0.948{col 86}{space 4}-.0491808{col 99}{space 3}  .052547
{txt}{space 44} {c |}
{space 35}preperiod {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 27}municipality_size {c |}
{space 7}Between 2,001 and 10,000 inhabitants  {c |}{col 46}{res}{space 2} .0161439{col 58}{space 2}  .010786{col 69}{space 1}    1.50{col 78}{space 3}0.134{col 86}{space 4}-.0049964{col 99}{space 3} .0372843
{txt}{space 6}Between 10,001 and 50,000 inhabitants  {c |}{col 46}{res}{space 2}-.0076228{col 58}{space 2} .0104809{col 69}{space 1}   -0.73{col 78}{space 3}0.467{col 86}{space 4}-.0281652{col 99}{space 3} .0129196
{txt}{space 5}Between 50,001 and 100,000 inhabitants  {c |}{col 46}{res}{space 2} .0037801{col 58}{space 2} .0117226{col 69}{space 1}    0.32{col 78}{space 3}0.747{col 86}{space 4} -.019196{col 99}{space 3} .0267563
{txt}{space 4}Between 100,001 and 400,000 inhabitants  {c |}{col 46}{res}{space 2} .0074338{col 58}{space 2} .0107849{col 69}{space 1}    0.69{col 78}{space 3}0.491{col 86}{space 4}-.0137044{col 99}{space 3}  .028572
{txt}{space 2}Between 400,001 and 1,000,000 inhabitants  {c |}{col 46}{res}{space 2}-.0202899{col 58}{space 2} .0156527{col 69}{space 1}   -1.30{col 78}{space 3}0.195{col 86}{space 4} -.050969{col 99}{space 3} .0103891
{txt}{space 12}More than 1,000,001 inhabitants  {c |}{col 46}{res}{space 2} .0089194{col 58}{space 2} .0159143{col 69}{space 1}    0.56{col 78}{space 3}0.575{col 86}{space 4}-.0222723{col 99}{space 3} .0401111
{txt}{space 44} {c |}
{space 38}female {c |}{col 46}{res}{space 2}-.0155817{col 58}{space 2} .0033386{col 69}{space 1}   -4.67{col 78}{space 3}0.000{col 86}{space 4}-.0221253{col 99}{space 3}-.0090381
{txt}{space 41}age {c |}{col 46}{res}{space 2} .0018713{col 58}{space 2} .0002345{col 69}{space 1}    7.98{col 78}{space 3}0.000{col 86}{space 4} .0014118{col 99}{space 3} .0023309
{txt}{space 44} {c |}
{space 35}education {c |}
{space 34}Secondary  {c |}{col 46}{res}{space 2}-.0252449{col 58}{space 2} .0063488{col 69}{space 1}   -3.98{col 78}{space 3}0.000{col 86}{space 4}-.0376886{col 99}{space 3}-.0128013
{txt}{space 27}Higher Education  {c |}{col 46}{res}{space 2}-.0365607{col 58}{space 2} .0071374{col 69}{space 1}   -5.12{col 78}{space 3}0.000{col 86}{space 4}  -.05055{col 99}{space 3}-.0225715
{txt}{space 44} {c |}
{space 38}status {c |}
{space 33}Unemployed  {c |}{col 46}{res}{space 2} .0111582{col 58}{space 2} .0074884{col 69}{space 1}    1.49{col 78}{space 3}0.136{col 86}{space 4}-.0035191{col 99}{space 3} .0258354
{txt}{space 36}Retired  {c |}{col 46}{res}{space 2} .0389069{col 58}{space 2} .0089953{col 69}{space 1}    4.33{col 78}{space 3}0.000{col 86}{space 4} .0212762{col 99}{space 3} .0565377
{txt}{space 36}Student  {c |}{col 46}{res}{space 2} .0187388{col 58}{space 2} .0133369{col 69}{space 1}    1.41{col 78}{space 3}0.160{col 86}{space 4}-.0074013{col 99}{space 3} .0448789
{txt}{space 32}Housekeeper  {c |}{col 46}{res}{space 2} .0076989{col 58}{space 2}  .011795{col 69}{space 1}    0.65{col 78}{space 3}0.514{col 86}{space 4}-.0154191{col 99}{space 3}  .030817
{txt}{space 44} {c |}
{space 17}preperiod#municipality_size {c |}
{space 14}1#Less than 2,000 inhabitants  {c |}{col 46}{res}{space 2} .0479826{col 58}{space 2} .0187475{col 69}{space 1}    2.56{col 78}{space 3}0.010{col 86}{space 4} .0112378{col 99}{space 3} .0847274
{txt}{space 5}1#Between 2,001 and 10,000 inhabitants  {c |}{col 46}{res}{space 2} .0254783{col 58}{space 2} .0171996{col 69}{space 1}    1.48{col 78}{space 3}0.139{col 86}{space 4}-.0082326{col 99}{space 3} .0591893
{txt}{space 4}1#Between 10,001 and 50,000 inhabitants  {c |}{col 46}{res}{space 2} .0398426{col 58}{space 2} .0164693{col 69}{space 1}    2.42{col 78}{space 3}0.016{col 86}{space 4} .0075629{col 99}{space 3} .0721222
{txt}{space 3}1#Between 50,001 and 100,000 inhabitants  {c |}{col 46}{res}{space 2} .0201811{col 58}{space 2} .0173818{col 69}{space 1}    1.16{col 78}{space 3}0.246{col 86}{space 4} -.013887{col 99}{space 3} .0542493
{txt}{space 2}1#Between 100,001 and 400,000 inhabitants  {c |}{col 46}{res}{space 2} .0323567{col 58}{space 2} .0161727{col 69}{space 1}    2.00{col 78}{space 3}0.045{col 86}{space 4} .0006584{col 99}{space 3}  .064055
{txt}1#Between 400,001 and 1,000,000 inhabitants  {c |}{col 46}{res}{space 2} .0370685{col 58}{space 2} .0220786{col 69}{space 1}    1.68{col 78}{space 3}0.093{col 86}{space 4}-.0062051{col 99}{space 3} .0803422
{txt}{space 10}1#More than 1,000,001 inhabitants  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 28}preperiod#female {c |}
{space 40}0 1  {c |}{col 46}{res}{space 2} .0141988{col 58}{space 2} .0062039{col 69}{space 1}    2.29{col 78}{space 3}0.022{col 86}{space 4} .0020392{col 99}{space 3} .0263584
{txt}{space 40}1 0  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 40}1 1  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 29}preperiod#c.age {c |}
{space 42}1  {c |}{col 46}{res}{space 2}-.0005118{col 58}{space 2} .0002671{col 69}{space 1}   -1.92{col 78}{space 3}0.055{col 86}{space 4}-.0010352{col 99}{space 3} .0000116
{txt}{space 44} {c |}
{space 25}preperiod#education {c |}
{space 19}1#Primary School or less  {c |}{col 46}{res}{space 2} -.043849{col 58}{space 2} .0085856{col 69}{space 1}   -5.11{col 78}{space 3}0.000{col 86}{space 4}-.0606768{col 99}{space 3}-.0270213
{txt}{space 32}1#Secondary  {c |}{col 46}{res}{space 2}-.0195808{col 58}{space 2} .0085565{col 69}{space 1}   -2.29{col 78}{space 3}0.022{col 86}{space 4}-.0363513{col 99}{space 3}-.0028103
{txt}{space 25}1#Higher Education  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 28}preperiod#status {c |}
{space 33}1#Employed  {c |}{col 46}{res}{space 2} .0041392{col 58}{space 2} .0128585{col 69}{space 1}    0.32{col 78}{space 3}0.748{col 86}{space 4}-.0210632{col 99}{space 3} .0293416
{txt}{space 31}1#Unemployed  {c |}{col 46}{res}{space 2}-.0203747{col 58}{space 2} .0142324{col 69}{space 1}   -1.43{col 78}{space 3}0.152{col 86}{space 4}-.0482699{col 99}{space 3} .0075205
{txt}{space 34}1#Retired  {c |}{col 46}{res}{space 2}-.0201541{col 58}{space 2}  .012833{col 69}{space 1}   -1.57{col 78}{space 3}0.116{col 86}{space 4}-.0453067{col 99}{space 3} .0049984
{txt}{space 34}1#Student  {c |}{col 46}{res}{space 2}-.0325111{col 58}{space 2} .0196537{col 69}{space 1}   -1.65{col 78}{space 3}0.098{col 86}{space 4}-.0710321{col 99}{space 3} .0060098
{txt}{space 30}1#Housekeeper  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 26}prov_num#preperiod {c |}
{space 33}a coruna#1  {c |}{col 46}{res}{space 2} .0007602{col 58}{space 2} .0302679{col 69}{space 1}    0.03{col 78}{space 3}0.980{col 86}{space 4}-.0585645{col 99}{space 3} .0600849
{txt}{space 36}alava#1  {c |}{col 46}{res}{space 2}-.0184037{col 58}{space 2} .0421199{col 69}{space 1}   -0.44{col 78}{space 3}0.662{col 86}{space 4}-.1009581{col 99}{space 3} .0641508
{txt}{space 33}albacete#1  {c |}{col 46}{res}{space 2} .0155662{col 58}{space 2} .0357426{col 69}{space 1}    0.44{col 78}{space 3}0.663{col 86}{space 4}-.0544888{col 99}{space 3} .0856212
{txt}{space 33}alicante#1  {c |}{col 46}{res}{space 2} .0416573{col 58}{space 2} .0314001{col 69}{space 1}    1.33{col 78}{space 3}0.185{col 86}{space 4}-.0198864{col 99}{space 3}  .103201
{txt}{space 34}almeria#1  {c |}{col 46}{res}{space 2}-.0303806{col 58}{space 2} .0326995{col 69}{space 1}   -0.93{col 78}{space 3}0.353{col 86}{space 4}-.0944711{col 99}{space 3}   .03371
{txt}{space 33}asturias#1  {c |}{col 46}{res}{space 2} -.017078{col 58}{space 2} .0369322{col 69}{space 1}   -0.46{col 78}{space 3}0.644{col 86}{space 4}-.0894646{col 99}{space 3} .0553086
{txt}{space 36}avila#1  {c |}{col 46}{res}{space 2} .0985497{col 58}{space 2} .0485785{col 69}{space 1}    2.03{col 78}{space 3}0.042{col 86}{space 4} .0033366{col 99}{space 3} .1937629
{txt}{space 34}badajoz#1  {c |}{col 46}{res}{space 2}  .029755{col 58}{space 2}  .033414{col 69}{space 1}    0.89{col 78}{space 3}0.373{col 86}{space 4} -.035736{col 99}{space 3} .0952459
{txt}{space 32}barcelona#1  {c |}{col 46}{res}{space 2} .0040198{col 58}{space 2} .0319015{col 69}{space 1}    0.13{col 78}{space 3}0.900{col 86}{space 4}-.0585068{col 99}{space 3} .0665463
{txt}{space 35}burgos#1  {c |}{col 46}{res}{space 2} -.039446{col 58}{space 2} .0454443{col 69}{space 1}   -0.87{col 78}{space 3}0.385{col 86}{space 4}-.1285161{col 99}{space 3} .0496242
{txt}{space 34}caceres#1  {c |}{col 46}{res}{space 2}-.0667912{col 58}{space 2} .0377031{col 69}{space 1}   -1.77{col 78}{space 3}0.076{col 86}{space 4}-.1406887{col 99}{space 3} .0071062
{txt}{space 36}cadiz#1  {c |}{col 46}{res}{space 2} .0495724{col 58}{space 2} .0332806{col 69}{space 1}    1.49{col 78}{space 3}0.136{col 86}{space 4} -.015657{col 99}{space 3} .1148018
{txt}{space 32}cantabria#1  {c |}{col 46}{res}{space 2} .0766063{col 58}{space 2}  .033181{col 69}{space 1}    2.31{col 78}{space 3}0.021{col 86}{space 4}  .011572{col 99}{space 3} .1416405
{txt}{space 32}castellon#1  {c |}{col 46}{res}{space 2}  .064994{col 58}{space 2} .0320315{col 69}{space 1}    2.03{col 78}{space 3}0.042{col 86}{space 4} .0022127{col 99}{space 3} .1277753
{txt}{space 30}ciudad real#1  {c |}{col 46}{res}{space 2} .0222946{col 58}{space 2} .0389494{col 69}{space 1}    0.57{col 78}{space 3}0.567{col 86}{space 4}-.0540456{col 99}{space 3} .0986349
{txt}{space 34}cordoba#1  {c |}{col 46}{res}{space 2}-.0462844{col 58}{space 2} .0317747{col 69}{space 1}   -1.46{col 78}{space 3}0.145{col 86}{space 4}-.1085623{col 99}{space 3} .0159936
{txt}{space 35}cuenca#1  {c |}{col 46}{res}{space 2}-.0079142{col 58}{space 2} .0483904{col 69}{space 1}   -0.16{col 78}{space 3}0.870{col 86}{space 4}-.1027586{col 99}{space 3} .0869302
{txt}{space 33}gipuzkoa#1  {c |}{col 46}{res}{space 2}-.0838659{col 58}{space 2} .0352147{col 69}{space 1}   -2.38{col 78}{space 3}0.017{col 86}{space 4}-.1528861{col 99}{space 3}-.0148457
{txt}{space 35}girona#1  {c |}{col 46}{res}{space 2} .0285973{col 58}{space 2} .0410632{col 69}{space 1}    0.70{col 78}{space 3}0.486{col 86}{space 4} -.051886{col 99}{space 3} .1090806
{txt}{space 34}granada#1  {c |}{col 46}{res}{space 2} -.071189{col 58}{space 2} .0334582{col 69}{space 1}   -2.13{col 78}{space 3}0.033{col 86}{space 4}-.1367665{col 99}{space 3}-.0056115
{txt}{space 30}guadalajara#1  {c |}{col 46}{res}{space 2} .0053149{col 58}{space 2} .0369224{col 69}{space 1}    0.14{col 78}{space 3}0.886{col 86}{space 4}-.0670526{col 99}{space 3} .0776823
{txt}{space 35}huelva#1  {c |}{col 46}{res}{space 2}  .012077{col 58}{space 2} .0404692{col 69}{space 1}    0.30{col 78}{space 3}0.765{col 86}{space 4}-.0672421{col 99}{space 3}  .091396
{txt}{space 35}huesca#1  {c |}{col 46}{res}{space 2} .0149241{col 58}{space 2} .0431737{col 69}{space 1}    0.35{col 78}{space 3}0.730{col 86}{space 4}-.0696956{col 99}{space 3} .0995438
{txt}{space 27}islas baleares#1  {c |}{col 46}{res}{space 2} .0968052{col 58}{space 2} .0390519{col 69}{space 1}    2.48{col 78}{space 3}0.013{col 86}{space 4} .0202642{col 99}{space 3} .1733462
{txt}{space 37}jaen#1  {c |}{col 46}{res}{space 2}-.0325283{col 58}{space 2} .0346331{col 69}{space 1}   -0.94{col 78}{space 3}0.348{col 86}{space 4}-.1004086{col 99}{space 3}  .035352
{txt}{space 33}la rioja#1  {c |}{col 46}{res}{space 2}-.0326795{col 58}{space 2} .0363361{col 69}{space 1}   -0.90{col 78}{space 3}0.368{col 86}{space 4}-.1038977{col 99}{space 3} .0385386
{txt}{space 31}las palmas#1  {c |}{col 46}{res}{space 2} .0807512{col 58}{space 2} .0368914{col 69}{space 1}    2.19{col 78}{space 3}0.029{col 86}{space 4} .0084446{col 99}{space 3} .1530578
{txt}{space 37}leon#1  {c |}{col 46}{res}{space 2}-.0424169{col 58}{space 2} .0395968{col 69}{space 1}   -1.07{col 78}{space 3}0.284{col 86}{space 4}-.1200259{col 99}{space 3} .0351922
{txt}{space 35}lleida#1  {c |}{col 46}{res}{space 2}-.0748254{col 58}{space 2} .0394666{col 69}{space 1}   -1.90{col 78}{space 3}0.058{col 86}{space 4}-.1521793{col 99}{space 3} .0025286
{txt}{space 37}lugo#1  {c |}{col 46}{res}{space 2} .0387542{col 58}{space 2} .0360053{col 69}{space 1}    1.08{col 78}{space 3}0.282{col 86}{space 4}-.0318157{col 99}{space 3}  .109324
{txt}{space 35}madrid#1  {c |}{col 46}{res}{space 2} .0041914{col 58}{space 2} .0285669{col 69}{space 1}    0.15{col 78}{space 3}0.883{col 86}{space 4}-.0517994{col 99}{space 3} .0601821
{txt}{space 35}malaga#1  {c |}{col 46}{res}{space 2}-.0009738{col 58}{space 2} .0271993{col 69}{space 1}   -0.04{col 78}{space 3}0.971{col 86}{space 4} -.054284{col 99}{space 3} .0523364
{txt}{space 35}murcia#1  {c |}{col 46}{res}{space 2} .0443669{col 58}{space 2} .0280378{col 69}{space 1}    1.58{col 78}{space 3}0.114{col 86}{space 4}-.0105867{col 99}{space 3} .0993205
{txt}{space 34}navarra#1  {c |}{col 46}{res}{space 2} -.037253{col 58}{space 2} .0376457{col 69}{space 1}   -0.99{col 78}{space 3}0.322{col 86}{space 4}-.1110379{col 99}{space 3} .0365319
{txt}{space 34}ourense#1  {c |}{col 46}{res}{space 2} .0454799{col 58}{space 2} .0361217{col 69}{space 1}    1.26{col 78}{space 3}0.208{col 86}{space 4} -.025318{col 99}{space 3} .1162778
{txt}{space 33}palencia#1  {c |}{col 46}{res}{space 2} -.008102{col 58}{space 2} .0468117{col 69}{space 1}   -0.17{col 78}{space 3}0.863{col 86}{space 4}-.0998523{col 99}{space 3} .0836483
{txt}{space 31}pontevedra#1  {c |}{col 46}{res}{space 2} .0266098{col 58}{space 2} .0306504{col 69}{space 1}    0.87{col 78}{space 3}0.385{col 86}{space 4}-.0334645{col 99}{space 3} .0866841
{txt}{space 32}salamanca#1  {c |}{col 46}{res}{space 2} .1096183{col 58}{space 2}   .03878{col 69}{space 1}    2.83{col 78}{space 3}0.005{col 86}{space 4} .0336102{col 99}{space 3} .1856264
{txt}{space 19}santa cruz de tenerife#1  {c |}{col 46}{res}{space 2}-.0399011{col 58}{space 2}  .030518{col 69}{space 1}   -1.31{col 78}{space 3}0.191{col 86}{space 4}-.0997159{col 99}{space 3} .0199137
{txt}{space 34}segovia#1  {c |}{col 46}{res}{space 2}-.0801062{col 58}{space 2} .0630994{col 69}{space 1}   -1.27{col 78}{space 3}0.204{col 86}{space 4}  -.20378{col 99}{space 3} .0435677
{txt}{space 34}sevilla#1  {c |}{col 46}{res}{space 2} .0221306{col 58}{space 2} .0298631{col 69}{space 1}    0.74{col 78}{space 3}0.459{col 86}{space 4}-.0364007{col 99}{space 3} .0806618
{txt}{space 36}soria#1  {c |}{col 46}{res}{space 2}-.1171975{col 58}{space 2} .1090832{col 69}{space 1}   -1.07{col 78}{space 3}0.283{col 86}{space 4}-.3309989{col 99}{space 3} .0966039
{txt}{space 32}tarragona#1  {c |}{col 46}{res}{space 2} .0748666{col 58}{space 2}  .040115{col 69}{space 1}    1.87{col 78}{space 3}0.062{col 86}{space 4}-.0037582{col 99}{space 3} .1534913
{txt}{space 35}teruel#1  {c |}{col 46}{res}{space 2}-.0123377{col 58}{space 2} .0430092{col 69}{space 1}   -0.29{col 78}{space 3}0.774{col 86}{space 4} -.096635{col 99}{space 3} .0719596
{txt}{space 35}toledo#1  {c |}{col 46}{res}{space 2} .0081087{col 58}{space 2} .0339232{col 69}{space 1}    0.24{col 78}{space 3}0.811{col 86}{space 4}-.0583804{col 99}{space 3} .0745977
{txt}{space 33}valencia#1  {c |}{col 46}{res}{space 2} .0197708{col 58}{space 2}  .026164{col 69}{space 1}    0.76{col 78}{space 3}0.450{col 86}{space 4}-.0315103{col 99}{space 3} .0710519
{txt}{space 31}valladolid#1  {c |}{col 46}{res}{space 2} .0531932{col 58}{space 2} .0325906{col 69}{space 1}    1.63{col 78}{space 3}0.103{col 86}{space 4}-.0106838{col 99}{space 3} .1170702
{txt}{space 34}vizcaya#1  {c |}{col 46}{res}{space 2}-.1140915{col 58}{space 2} .0291507{col 69}{space 1}   -3.91{col 78}{space 3}0.000{col 86}{space 4}-.1712264{col 99}{space 3}-.0569566
{txt}{space 35}zamora#1  {c |}{col 46}{res}{space 2} .0039195{col 58}{space 2} .0499285{col 69}{space 1}    0.08{col 78}{space 3}0.937{col 86}{space 4}-.0939395{col 99}{space 3} .1017785
{txt}{space 33}zaragoza#1  {c |}{col 46}{res}{space 2}        0{col 58}{txt}  (omitted)
{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} .1637409{col 58}{space 2} .0370945{col 69}{space 1}    4.41{col 78}{space 3}0.000{col 86}{space 4} .0910363{col 99}{space 3} .2364455
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of absorbed indicators: F({res}16{txt}, {res}113152{txt}) = {res}18.239{col 62}{txt} Prob > F = {res}0.000
{txt}
{com}. 
. estadd local SurveyFE "$\checkmark$"

{txt}added macro:
           e(SurveyFE) : "{res:$\checkmark$}"

{com}. estadd local ProvinceFE "$\checkmark$"

{txt}added macro:
         e(ProvinceFE) : "{res:$\checkmark$}"

{com}. estadd local YearFE "$\checkmark$"

{txt}added macro:
             e(YearFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodFE "$\checkmark$"

{txt}added macro:
           e(PeriodFE) : "{res:$\checkmark$}"

{com}. estadd local PeriodCtrols "$\checkmark$"

{txt}added macro:
       e(PeriodCtrols) : "{res:$\checkmark$}"

{com}. estadd local Data "Ours"

{txt}added macro:
               e(Data) : "{res:Ours}"

{com}. estadd local Sample "Pooled"

{txt}added macro:
             e(Sample) : "{res:Pooled}"

{com}. estadd local Propensity "$\checkmark$"

{txt}added macro:
         e(Propensity) : "{res:$\checkmark$}"

{com}. estadd local Estimation "OLS"

{txt}added macro:
         e(Estimation) : "{res:OLS}"

{com}. estadd local Outcome "Q1"

{txt}added macro:
            e(Outcome) : "{res:Q1}"

{com}. 
. boottest top_prizes_gdp_term_2, cluster(prov_num) seed(12345)

{txt}Overriding estimator's cluster/robust settings with {res}cluster(prov_num)

{txt}Wild bootstrap-t, null imposed, 999 replications, Wald test, clustering by {res}prov_num{txt}, bootstrap clustering by {res}prov_num{txt}, Rademacher weights:
  {res}top_prizes_gdp_term_2

{txt}{col 28}t(49) = {res}    0.7469
{col 25}{txt}Prob>|t| = {res}    0.5666

95%{txt} confidence set for null hypothesis expression: {res}[−.01794, .04786]
{txt}
{com}. gen pooled_sample=1 if e(sample)==1
{txt}(43,157 missing values generated)

{com}. 
. cou if pooled_sample==1 & pre_sample==. & post_sample==.
  {res}0
{txt}
{com}. cou if pooled_sample==1 & (pre_sample==1 | post_sample==1)
  {res}113,306
{txt}
{com}. 
. drop *_sample
{txt}
{com}. 
. *****
. 
. *** Assemble TABLE 4. MAIN PAPER 
. 
. local suffix: display %tdCCYYNNDD =daily("`c(current_date)'", "DMY")    
{res}{txt}
{com}. 
. esttab b_pre_m b_post_m b_pooled_m b_pre_Q1 b_post_Q1 b_pooled_Q1 using ${c -(}tables{c )-}`suffix'_Survey_Table_4_periodCtrol.tex, ///
>                 keep(top_prizes_gdp_term_2) nocon r2 nostar ///         
>                 cells(b(fmt(3)) se(fmt(3) par) ci(fmt(3) par) CIstr(fmt(%-18s))) ///
>                 mtitles se mtitles("Vote Incumb." "Vote Incumb." "Vote Incumb." "Vote Incumb." "Vote Incumb." ///
>                 "Vote Incumb.")  ///
>                 coeflabels(top_prizes_gdp_term_2 "Top Lottery prizes Term" expenditure_gdp_term_2 "Lottery expenditure Term") ///
>                 scalars("Estimation Estimation" "Data Data" "Sample Sample" "Outcome Time Outcome" "ProvinceFE Province FE" "YearFE Year FE" "PeriodFE Period FE" "PeriodCtrols Ctrols x Period" "SurveyFE Survey FE" "Propensity Propensity corrected")  replace               
{res}{txt}{p 0 4 2}
(file {bf}
Results/Tables_Survey/20251023_Survey_Table_4_periodCtrol.tex{rm}
not found)
{p_end}
(output written to {browse  `"Results/Tables_Survey/20251023_Survey_Table_4_periodCtrol.tex"'})

{com}.                 
. /* NOTE: Information of the last column of the table (the meta-analysis) and 
> WCB confidence sets are manually added to the tables from the Stata output 
> generated here.
> */
. 
{txt}end of do-file

{com}. clear all
{res}
{com}. cls

. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/carolinabernal/Library/CloudStorage/Dropbox/Spanish_Lottery/StataDos_RScripts/202406 Analysis/Ours_replication_pkg/NEW AND FINAL REPPKG/Logs/MainPaper_SurveyEvidence_Tables.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}23 Oct 2025, 12:49:11
{txt}{.-}
{smcl}
{txt}{sf}{ul off}